Serialized Form


Package adams.core.base

Class adams.core.base.AbstractBaseString extends BaseObject implements Serializable

serialVersionUID: -5853830144343397434L

Class adams.core.base.ArrayDimensions extends AbstractBaseString implements Serializable

serialVersionUID: 7100089984419357692L

Serialized Fields

m_Dimensions

int[] m_Dimensions

Class adams.core.base.AttributeTypeList extends BaseList implements Serializable

serialVersionUID: -5853830144343397434L

Class adams.core.base.BaseByte extends BaseObject implements Serializable

serialVersionUID: -3504062141216626521L

Class adams.core.base.BaseCharacter extends BaseObject implements Serializable

serialVersionUID: 7599320288778710037L

Class adams.core.base.BaseDate extends BaseObject implements Serializable

serialVersionUID: -5853830144343397434L

Serialized Fields

m_Start

Date m_Start

m_End

Date m_End

Class adams.core.base.BaseDateTime extends BaseObject implements Serializable

serialVersionUID: -5853830144343397434L

Serialized Fields

m_Start

Date m_Start

m_End

Date m_End

Class adams.core.base.BaseDouble extends BaseObject implements Serializable

serialVersionUID: 2527493071384732090L

Class adams.core.base.BaseFloat extends BaseObject implements Serializable

serialVersionUID: -3871442214322457039L

Class adams.core.base.BaseInteger extends BaseObject implements Serializable

serialVersionUID: 4461135181234402629L

Class adams.core.base.BaseList extends AbstractBaseString implements Serializable

serialVersionUID: -8131365256300704071L

Class adams.core.base.BaseLong extends BaseObject implements Serializable

serialVersionUID: 1247725187608799123L

Class adams.core.base.BaseObject extends Object implements Serializable

serialVersionUID: 4619009495177712405L

Serialized Fields

m_Internal

Comparable<T> m_Internal

Class adams.core.base.BasePassword extends AbstractBaseString implements Serializable

serialVersionUID: -3626665478868498359L

Class adams.core.base.BaseRegExp extends AbstractBaseString implements Serializable

serialVersionUID: -8687858764646783666L

Serialized Fields

m_Pattern

Pattern m_Pattern

Class adams.core.base.BaseShort extends BaseObject implements Serializable

serialVersionUID: -4419336990700334068L

Class adams.core.base.BaseString extends AbstractBaseString implements Serializable

serialVersionUID: -5853830144343397434L

Class adams.core.base.BaseText extends AbstractBaseString implements Serializable

serialVersionUID: -7223597009565454854L

Class adams.core.base.BaseTime extends BaseObject implements Serializable

serialVersionUID: -5853830144343397434L

Serialized Fields

m_Start

Date m_Start

m_End

Date m_End

Class adams.core.base.BaseURI extends BaseObject implements Serializable

serialVersionUID: 4461135181234402629L

Serialized Fields

m_Current

URI m_Current

Class adams.core.base.BaseURL extends BaseObject implements Serializable

serialVersionUID: 4461135181234402629L

Serialized Fields

m_Current

URL m_Current

Class adams.core.base.MarkDown extends AbstractBaseString implements Serializable

serialVersionUID: 7100089984419357692L

Serialized Fields

m_HTML

String m_HTML

Package adams.core.option

Class adams.core.option.AbstractActorJavaCodeProducer extends AbstractJavaCodeProducer implements Serializable

serialVersionUID: 8418718518287490700L

Class adams.core.option.AbstractArgumentOption extends AbstractOption implements Serializable

serialVersionUID: 8495236290921805608L

Serialized Fields

m_BaseClass

Class<T> m_BaseClass

m_Multiple

boolean m_Multiple

m_Variable

String m_Variable

m_VariableModified

boolean m_VariableModified

m_VariableReferencesObject

Boolean m_VariableReferencesObject

Class adams.core.option.AbstractCommandLineHandler extends Object implements Serializable

serialVersionUID: -200830732847780663L

Class adams.core.option.AbstractFlowJavaCodeProducer extends AbstractJavaCodeProducer implements Serializable

serialVersionUID: 3204705502495750602L

Class adams.core.option.AbstractJavaCodeProducer extends AbstractRecursiveOptionProducer<String,String> implements Serializable

serialVersionUID: 6441039650955464738L

Serialized Fields

m_OutputBuffer

StringBuilder m_OutputBuffer

m_Copyright

String m_Copyright

m_Package

String m_Package

m_SimpleName

String m_SimpleName

m_OutputDefaultValues

boolean m_OutputDefaultValues

m_TmpCounter

int m_TmpCounter

Class adams.core.option.AbstractNumericOption extends AbstractArgumentOption implements Serializable

serialVersionUID: 5499914416554286605L

Serialized Fields

m_LowerBound

Number m_LowerBound

m_UpperBound

Number m_UpperBound

Class adams.core.option.AbstractOption extends Object implements Serializable

serialVersionUID: 8825127756251485512L

Serialized Fields

m_Owner

OptionManager m_Owner

m_Commandline

String m_Commandline

m_Property

String m_Property

m_DefaultValue

Object m_DefaultValue

m_OutputDefaultValue

boolean m_OutputDefaultValue

m_Debug

boolean m_Debug

Class adams.core.option.AbstractOptionConsumer extends ConsoleObject implements Serializable

serialVersionUID: -6229518298821665902L

Serialized Fields

m_DebugLevel

int m_DebugLevel

m_Input

Object m_Input

m_UsePropertyNames

boolean m_UsePropertyNames

m_Output

OptionHandler m_Output

m_Errors

Vector<E> m_Errors

m_Warnings

Vector<E> m_Warnings

m_SkippedProperties

HashSet<E> m_SkippedProperties

Class adams.core.option.AbstractOptionHandler extends ConsoleObject implements Serializable

serialVersionUID: -4086279255884465893L

Serialized Fields

m_OptionManager

OptionManager m_OptionManager

m_DebugLevel

int m_DebugLevel

Class adams.core.option.AbstractOptionProducer extends ConsoleObject implements Serializable

serialVersionUID: 4502704821224667069L

Serialized Fields

m_Input

OptionHandler m_Input

m_DebugLevel

int m_DebugLevel

m_UsePropertyNames

boolean m_UsePropertyNames

m_LastGenerated

Object m_LastGenerated

m_OutputVariableValues

boolean m_OutputVariableValues

m_SkippedProperties

HashSet<E> m_SkippedProperties

Class adams.core.option.AbstractRecursiveOptionConsumer extends AbstractOptionConsumer<C,V> implements Serializable

serialVersionUID: 4502704821224667069L

Serialized Fields

m_Nesting

Stack<E> m_Nesting

Class adams.core.option.AbstractRecursiveOptionProducer extends AbstractOptionProducer<O,I> implements Serializable

serialVersionUID: 4502704821224667069L

Serialized Fields

m_Nesting

Stack<E> m_Nesting

Class adams.core.option.ActorExecutionClassProducer extends AbstractActorJavaCodeProducer implements Serializable

serialVersionUID: -4862444496437534455L

Class adams.core.option.AdamsCommandLineHandler extends AbstractCommandLineHandler implements Serializable

serialVersionUID: 1447070701753485854L

Class adams.core.option.ArrayConsumer extends AbstractRecursiveOptionConsumer<String[],String[]> implements Serializable

serialVersionUID: 3756322164593713820L

Class adams.core.option.ArrayProducer extends AbstractRecursiveOptionProducer<String[],ArrayList<String>> implements Serializable

serialVersionUID: 2014571979604068762L

Serialized Fields

m_OutputList

ArrayList<E> m_OutputList

Class adams.core.option.BaseObjectOption extends CustomHooksOption implements Serializable

serialVersionUID: 4706969677540350561L

Class adams.core.option.BooleanOption extends AbstractOption implements Serializable

serialVersionUID: 8842321259180570339L

Serialized Fields

m_FlagInverts

boolean m_FlagInverts

Class adams.core.option.ByteOption extends AbstractNumericOption<Byte> implements Serializable

serialVersionUID: -7412891415495630059L

Class adams.core.option.ClassOption extends AbstractArgumentOption implements Serializable

serialVersionUID: 945814491797364391L

Class adams.core.option.CommandlineHelpProducer extends AbstractOptionProducer<String,StringBuilder> implements Serializable

serialVersionUID: 4154358361484863539L

Serialized Fields

m_OutputBuffer

StringBuilder m_OutputBuffer

Class adams.core.option.CustomHooksOption extends AbstractArgumentOption implements Serializable

serialVersionUID: -3175126088440187209L

Class adams.core.option.DatabaseActorExecutionClassProducer extends ActorExecutionClassProducer implements Serializable

serialVersionUID: -8854002881512935904L

Serialized Fields

m_URL

String m_URL

m_User

String m_User

m_Password

BasePassword m_Password

Class adams.core.option.DebugNestedProducer extends NestedProducer implements Serializable

serialVersionUID: 931016182843089428L

Class adams.core.option.DefaultCommandLineHandler extends AbstractCommandLineHandler implements Serializable

serialVersionUID: -5233496867185402778L

Class adams.core.option.DocBookProducer extends AbstractRecursiveOptionProducer<String,AbstractElement> implements Serializable

serialVersionUID: -1354998807180416601L

Serialized Fields

m_Document

Document m_Document

m_OutputDefaultValues

boolean m_OutputDefaultValues

Class adams.core.option.DoubleOption extends AbstractNumericOption<Double> implements Serializable

serialVersionUID: -5410045798305282582L

Class adams.core.option.EnumOption extends AbstractArgumentOption implements Serializable

serialVersionUID: -7052702973855610177L

Serialized Fields

m_CustomDisplayInstance

EnumWithCustomDisplay<T extends Enum> m_CustomDisplayInstance

Class adams.core.option.FileLister extends AbstractOptionHandler implements Serializable

serialVersionUID: -6561961647781822476L

Serialized Fields

m_Result

StringBuilder m_Result

Class adams.core.option.FloatOption extends AbstractNumericOption<Float> implements Serializable

serialVersionUID: -1348861898807779011L

Class adams.core.option.FlowJUnitTestProducer extends AbstractFlowJavaCodeProducer implements Serializable

serialVersionUID: -422414504795720518L

Serialized Fields

m_ActorClass

Class<T> m_ActorClass

m_HasRegressionTest

boolean m_HasRegressionTest

m_RegressionFiles

BaseString[] m_RegressionFiles

Class adams.core.option.FlowStructureDotProducer extends AbstractRecursiveOptionProducer<String,String> implements Serializable

serialVersionUID: 5441506605408584791L

Serialized Fields

m_OutputClassname

boolean m_OutputClassname

m_LinkGlobalActors

boolean m_LinkGlobalActors

m_OutputBuffer

StringBuilder m_OutputBuffer

m_Counter

int m_Counter

m_NameIDRelation

Hashtable<K,V> m_NameIDRelation

Class adams.core.option.FlowStructureGraphMLProducer extends AbstractRecursiveOptionProducer<String,String> implements Serializable

serialVersionUID: -1493427064082222688L

Serialized Fields

m_OutputClassname

boolean m_OutputClassname

m_LinkGlobalActors

boolean m_LinkGlobalActors

m_OutputYEdGraphML

boolean m_OutputYEdGraphML

m_OutputBuffer

StringBuilder m_OutputBuffer

m_NodeCounter

int m_NodeCounter

m_EdgeCounter

int m_EdgeCounter

m_NameIDRelation

Hashtable<K,V> m_NameIDRelation

Class adams.core.option.HtmlHelpProducer extends AbstractOptionProducer<String,StringBuilder> implements Serializable

serialVersionUID: 7520567844837662391L

Serialized Fields

m_OutputBuffer

StringBuilder m_OutputBuffer

Class adams.core.option.HtmlParametersProducer extends AbstractOptionProducer<String,StringBuilder> implements Serializable

serialVersionUID: 7520567844837662391L

Serialized Fields

m_OutputBuffer

StringBuilder m_OutputBuffer

Class adams.core.option.IntegerOption extends AbstractNumericOption<Integer> implements Serializable

serialVersionUID: 2651793921528690968L

Class adams.core.option.JsonConsumer extends AbstractRecursiveOptionConsumer<org.json.simple.JSONObject,Object> implements Serializable

serialVersionUID: -840227436726154503L

Class adams.core.option.JsonProducer extends AbstractRecursiveOptionProducer<org.json.simple.JSONObject,Object> implements Serializable

serialVersionUID: -7424639972010085977L

Class adams.core.option.LatexProducer extends AbstractRecursiveOptionProducer<String,StringBuilder> implements Serializable

serialVersionUID: 6207182996484984270L

Serialized Fields

m_Landscape

boolean m_Landscape

m_Structure

StringBuilder m_Structure

m_Details

StringBuilder m_Details

m_Index

int m_Index

Class adams.core.option.LongOption extends AbstractNumericOption<Long> implements Serializable

serialVersionUID: -5482444006802407378L

Class adams.core.option.MaterializedArrayProducer extends ArrayProducer implements Serializable

serialVersionUID: -1441936327738738725L

Serialized Fields

m_Helper

GlobalActorHelper m_Helper

Class adams.core.option.NestedConsumer extends AbstractRecursiveOptionConsumer<ArrayList,ArrayList> implements Serializable

serialVersionUID: 3076988578982973033L

Class adams.core.option.NestedProducer extends AbstractRecursiveOptionProducer<ArrayList,ArrayList> implements Serializable

serialVersionUID: 7096746086060792830L

Serialized Fields

m_Blacklisted

Class<T>[] m_Blacklisted

m_OutputProlog

boolean m_OutputProlog

m_OutputClasspath

boolean m_OutputClasspath

Class adams.core.option.OptionManager extends Object implements Serializable

serialVersionUID: 2383307592894383257L

Serialized Fields

m_Owner

OptionHandler m_Owner

m_Options

ArrayList<E> m_Options

m_CommandlineIndex

Hashtable<K,V> m_CommandlineIndex

m_PropertyIndex

Hashtable<K,V> m_PropertyIndex

m_ThrowExceptions

boolean m_ThrowExceptions

m_Variables

Variables m_Variables

Class adams.core.option.OptionManagerException extends RuntimeException implements Serializable

serialVersionUID: -6459097265882571029L

Class adams.core.option.OptionTraversalPath extends Stack<String> implements Serializable

serialVersionUID: 1386973529868246153L

Class adams.core.option.ShortOption extends AbstractNumericOption<Short> implements Serializable

serialVersionUID: 7238958288159703882L

Class adams.core.option.StringOption extends AbstractArgumentOption implements Serializable

serialVersionUID: -2043258692860515443L

Class adams.core.option.VariableLister extends AbstractOptionHandler implements Serializable

serialVersionUID: -8918602932870835907L

Serialized Fields

m_Result

StringBuilder m_Result

Class adams.core.option.VariablesInstanceLister extends AbstractOptionHandler implements Serializable

serialVersionUID: -6561961647781822476L

Serialized Fields

m_Result

StringBuilder m_Result

Class adams.core.option.WekaCommandLineHandler extends AbstractCommandLineHandler implements Serializable

serialVersionUID: -5233496867185402778L


Package adams.data

Class adams.data.DecimalFormatString extends AbstractBaseString implements Serializable

serialVersionUID: -7134897961930112280L

Class adams.data.Notes extends Object implements Serializable

serialVersionUID: -6179090129357843542L

Serialized Fields

m_Notes

Hashtable<K,V> m_Notes

Class adams.data.WekaExperimentFile extends PlaceholderFile implements Serializable

serialVersionUID: -4345693975779199292L


Package adams.data.baseline

Class adams.data.baseline.AbstractBaselineCorrection extends AbstractOptionHandler implements Serializable

serialVersionUID: 2530174550698703218L

Class adams.data.baseline.AbstractBaselineCorrection.BaselineCorrectionJob extends Job implements Serializable

serialVersionUID: 5544327082749651329L

Serialized Fields

m_BaselineCorrection

AbstractBaselineCorrection<T extends DataContainer> m_BaselineCorrection

m_Data

DataContainer<T extends DataPoint> m_Data

m_CorrectedData

DataContainer<T extends DataPoint> m_CorrectedData

Class adams.data.baseline.AbstractDatabaseConnectionBaselineCorrection extends AbstractBaselineCorrection<T extends DataContainer> implements Serializable

serialVersionUID: 2306902659179673256L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.data.baseline.AbstractLinearRegressionBased extends AbstractBaselineCorrection<T extends DataContainer> implements Serializable

serialVersionUID: -6634948158083409766L

Serialized Fields

m_Ridge

double m_Ridge
the ridge.


m_GenerateLine

boolean m_GenerateLine
whether to return the line as fake data or the corrected data.

Class adams.data.baseline.NamedSetup extends AbstractDatabaseConnectionBaselineCorrection<T extends DataContainer> implements Serializable

serialVersionUID: -7461880253377745975L

Serialized Fields

m_Setup

NamedSetup m_Setup

m_ActualScheme

AbstractBaselineCorrection<T extends DataContainer> m_ActualScheme

Class adams.data.baseline.PassThrough extends AbstractBaselineCorrection<DataContainer> implements Serializable

serialVersionUID: -3140079797505735057L

Class adams.data.baseline.SlidingWindow extends AbstractDatabaseConnectionBaselineCorrection<T extends DataContainer> implements Serializable

serialVersionUID: -3975367203680893657L

Serialized Fields

m_NumLeft

int m_NumLeft

m_NumRight

int m_NumRight

m_BaselineCorrection

AbstractBaselineCorrection<T extends DataContainer> m_BaselineCorrection

Package adams.data.conversion

Class adams.data.conversion.AbstractConversion extends AbstractOptionHandler implements Serializable

serialVersionUID: 1576117521811422376L

Serialized Fields

m_Owner

Object m_Owner

m_Input

Object m_Input

m_Output

Object m_Output

Class adams.data.conversion.AbstractConversionFromString extends AbstractConversion implements Serializable

serialVersionUID: 9187445403013903785L

Class adams.data.conversion.AbstractConversionToString extends AbstractConversion implements Serializable

serialVersionUID: -8667643653337244855L

Class adams.data.conversion.AbstractMatchWekaInstanceAgainstHeader extends AbstractConversion implements Serializable

serialVersionUID: -7728745365733721265L

Serialized Fields

m_Dataset

weka.core.Instances m_Dataset
the header to match against.

Class adams.data.conversion.AbstractStringConversion extends AbstractConversion implements Serializable

serialVersionUID: 4381633326056488984L

Class adams.data.conversion.AdamsInstanceToWekaInstance extends AbstractConversion implements Serializable

serialVersionUID: -6246934381347850100L

Class adams.data.conversion.AnyToCommandline extends AbstractConversionToString implements Serializable

serialVersionUID: 6917238721897148226L

Class adams.data.conversion.AnyToString extends AbstractConversionToString implements Serializable

serialVersionUID: 8828591710515484463L

Class adams.data.conversion.ArrayToCollection extends AbstractConversion implements Serializable

serialVersionUID: 1028362547528503041L

Serialized Fields

m_CollectionClass

String m_CollectionClass

Class adams.data.conversion.BaseDateTimeToString extends AbstractConversionToString implements Serializable

serialVersionUID: 6744245717394758406L

Serialized Fields

m_Start

BaseDateTime m_Start

m_End

BaseDateTime m_End

Class adams.data.conversion.BaseDateToString extends AbstractConversionToString implements Serializable

serialVersionUID: 6744245717394758406L

Serialized Fields

m_Start

BaseDate m_Start

m_End

BaseDate m_End

Class adams.data.conversion.BaseTimeToString extends AbstractConversionToString implements Serializable

serialVersionUID: 6744245717394758406L

Serialized Fields

m_Start

BaseTime m_Start

m_End

BaseTime m_End

Class adams.data.conversion.CollectionToArray extends AbstractConversion implements Serializable

serialVersionUID: 1028362547528503041L

Serialized Fields

m_ArrayClass

String m_ArrayClass

Class adams.data.conversion.CommandlineToAny extends AbstractConversionFromString implements Serializable

serialVersionUID: 8872440343913471949L

Class adams.data.conversion.DoubleToInt extends AbstractConversion implements Serializable

serialVersionUID: -6519874262735685813L

Class adams.data.conversion.DoubleToString extends AbstractConversionToString implements Serializable

serialVersionUID: -9142177169642814841L

Serialized Fields

m_NumDecimals

int m_NumDecimals

Class adams.data.conversion.FieldToString extends AbstractConversionToString implements Serializable

serialVersionUID: 8828591710515484463L

Serialized Fields

m_AppendDataType

boolean m_AppendDataType

Class adams.data.conversion.FileToString extends AbstractConversionToString implements Serializable

serialVersionUID: 8828591710515484463L

Serialized Fields

m_AbsolutePath

boolean m_AbsolutePath

Class adams.data.conversion.IntToDouble extends AbstractConversion implements Serializable

serialVersionUID: 8575654879898181338L

Class adams.data.conversion.IntToString extends AbstractConversionToString implements Serializable

serialVersionUID: 6744245717394758406L

Class adams.data.conversion.LeftPad extends AbstractStringConversion implements Serializable

serialVersionUID: -9142177169642814841L

Serialized Fields

m_Width

int m_Width

m_PadCharacter

String m_PadCharacter

Class adams.data.conversion.LowerCase extends AbstractStringConversion implements Serializable

serialVersionUID: -4017583319699378889L

Class adams.data.conversion.MatchWekaInstanceAgainstFileHeader extends AbstractMatchWekaInstanceAgainstHeader implements Serializable

serialVersionUID: -5909149413572601612L

Serialized Fields

m_Header

PlaceholderFile m_Header
the header to load from disk.

Class adams.data.conversion.MatchWekaInstanceAgainstStorageHeader extends AbstractMatchWekaInstanceAgainstHeader implements Serializable

serialVersionUID: 5788507217652026285L

Serialized Fields

m_Header

StorageName m_Header
the header to load from storage.

Class adams.data.conversion.Maximum extends AbstractConversion implements Serializable

serialVersionUID: -75389769071359850L

Serialized Fields

m_Maximum

double m_Maximum

Class adams.data.conversion.Minimum extends AbstractConversion implements Serializable

serialVersionUID: 5942136303011254500L

Serialized Fields

m_Minimum

double m_Minimum

Class adams.data.conversion.MovingAverage extends AbstractConversion implements Serializable

serialVersionUID: -4092302172529978800L

Serialized Fields

m_WindowSize

int m_WindowSize

m_Queue

Vector<E> m_Queue

Class adams.data.conversion.MultiConversion extends AbstractConversion implements Serializable

serialVersionUID: -8173803394483284352L

Serialized Fields

m_SubConversions

Conversion[] m_SubConversions

m_CompatibilityChecked

boolean m_CompatibilityChecked

Class adams.data.conversion.ObjectToObject extends AbstractConversion implements Serializable

serialVersionUID: 478206682870088954L

Class adams.data.conversion.ReportToWekaInstance extends AbstractConversion implements Serializable

serialVersionUID: 124581970397295630L

Serialized Fields

m_Fields

Field[] m_Fields
the fields to turn into an instance.


m_Header

weka.core.Instances m_Header
the header to use.

Class adams.data.conversion.SideBySideDiffToString extends AbstractConversionToString implements Serializable

serialVersionUID: -3431292077368307264L

Serialized Fields

m_Separator

String m_Separator

Class adams.data.conversion.SpreadSheetToWekaInstances extends AbstractConversion implements Serializable

serialVersionUID: 867886761713927179L

Class adams.data.conversion.StringToCustomStringRepresentation extends AbstractConversionFromString implements Serializable

serialVersionUID: -1819666048086043899L

Serialized Fields

m_Classname

String m_Classname

Class adams.data.conversion.StringToDouble extends AbstractConversionFromString implements Serializable

serialVersionUID: -7171309518664810125L

Class adams.data.conversion.StringToField extends AbstractConversionFromString implements Serializable

serialVersionUID: 8828591710515484463L

Serialized Fields

m_DefaultDataType

DataType m_DefaultDataType

Class adams.data.conversion.StringToFile extends AbstractConversionFromString implements Serializable

serialVersionUID: 8828591710515484463L

Serialized Fields

m_CreatePlaceholderFileObjects

boolean m_CreatePlaceholderFileObjects

m_MakeCompliant

boolean m_MakeCompliant

Class adams.data.conversion.StringToInt extends AbstractConversionFromString implements Serializable

serialVersionUID: -7337362020786223426L

Class adams.data.conversion.StringToString extends AbstractStringConversion implements Serializable

serialVersionUID: -4017583319699378889L

Class adams.data.conversion.TimestampToDouble extends AbstractConversion implements Serializable

serialVersionUID: 2114949459692278604L

Serialized Fields

m_Format

String m_Format

m_Formatter

DateFormat m_Formatter

Class adams.data.conversion.TimeToString extends AbstractConversionToString implements Serializable

serialVersionUID: 6744245717394758406L

Serialized Fields

m_Format

String m_Format

Class adams.data.conversion.UpperCase extends AbstractStringConversion implements Serializable

serialVersionUID: -4017583319699378889L

Class adams.data.conversion.WekaInstancesToSpreadSheet extends AbstractConversion implements Serializable

serialVersionUID: -7728745365733721265L

Serialized Fields

m_NumDecimals

int m_NumDecimals
the number of decimals to display.

Class adams.data.conversion.WekaInstanceToAdamsInstance extends AbstractConversion implements Serializable

serialVersionUID: -6246934381347850100L

Class adams.data.conversion.WekaPredictionContainerToSpreadSheet extends AbstractConversion implements Serializable

serialVersionUID: 124581970397295630L

Serialized Fields

m_TitleNameColumn

String m_TitleNameColumn
the title of the name column.


m_TitleValueColumn

String m_TitleValueColumn
the title of the value column.


m_AddClassification

boolean m_AddClassification
whether to add the numeric classification to the output.


m_ClassificationEntry

String m_ClassificationEntry
the entry to use for the numeric classification in the spreadsheet.


m_AddClassificationLabel

boolean m_AddClassificationLabel
whether to add the classification label to the output (nominal classes only).


m_ClassificationLabelEntry

String m_ClassificationLabelEntry
the entry to use for the classification label in the spreadsheet.


m_AddDistribution

boolean m_AddDistribution
whether to add the distribution to the output (nominal classes only).


m_DistributionFormat

String m_DistributionFormat
the format to use for the distribution entries in the spreadsheet.


m_DistributionSorting

WekaPredictionContainerToSpreadSheet.Sorting m_DistributionSorting
the type of sorting to apply to the distribution array (if applicable).


Package adams.data.instance

Class adams.data.instance.Instance extends AbstractDataContainer<InstancePoint> implements Serializable

serialVersionUID: 8553741559715144356L

Serialized Fields

m_DatasetHeader

weka.core.Instances m_DatasetHeader
a reference to the dataset the data was obtained from.


m_Report

Report m_Report
the automatically generated report.


m_Notes

Notes m_Notes
the notes for the chromatogram.

Class adams.data.instance.InstancePoint extends AbstractDataPoint implements Serializable

serialVersionUID: -8737532674253304044L

Serialized Fields

m_X

Integer m_X
the X value.


m_Y

Double m_Y
the Y value.

Class adams.data.instance.InstancePointComparator extends DataPointComparator implements Serializable

serialVersionUID: 2862272335441705521L

Serialized Fields

m_UseY

boolean m_UseY
whether to compare Y or X.


Package adams.data.instances

Class adams.data.instances.AbstractInstanceGenerator extends AbstractOptionHandler implements Serializable

serialVersionUID: 5543015283566767256L

Serialized Fields

m_OutputHeader

weka.core.Instances m_OutputHeader
the generated header.


m_AddDatabaseID

boolean m_AddDatabaseID
whether to add the database ID.


m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection
the database connection.


Package adams.data.io.input

Class adams.data.io.input.AbstractDataContainerReader extends AbstractOptionHandler implements Serializable

serialVersionUID: -4690065186988048507L

Serialized Fields

m_Input

PlaceholderFile m_Input

m_CreateDummyReport

boolean m_CreateDummyReport

m_ReadData

Vector<E> m_ReadData

m_Processed

boolean m_Processed

m_InputIsFile

boolean m_InputIsFile

Class adams.data.io.input.AbstractReportReader extends AbstractOptionHandler implements Serializable

serialVersionUID: -630224132021076920L

Serialized Fields

m_Input

PlaceholderFile m_Input

Class adams.data.io.input.AbstractSimpleCSVReportReader extends AbstractReportReader<T extends Report> implements Serializable

serialVersionUID: 8997935127278404969L

Class adams.data.io.input.AbstractSimpleReportReader extends AbstractReportReader<T extends Report> implements Serializable

serialVersionUID: -196559365684130179L

Class adams.data.io.input.DefaultSimpleCSVReportReader extends AbstractSimpleCSVReportReader<Report> implements Serializable

serialVersionUID: 3515661897286794584L

Class adams.data.io.input.DefaultSimpleReportReader extends AbstractSimpleReportReader<Report> implements Serializable

serialVersionUID: -2527689136648506822L

Class adams.data.io.input.InstanceReader extends AbstractDataContainerReader<Instance> implements Serializable

serialVersionUID: 2653822253818697195L

Serialized Fields

m_Source

weka.core.converters.ConverterUtils.DataSource m_Source
the data source for reading.


m_Structure

weka.core.Instances m_Structure
the current data structure.


m_Index

int m_Index
the current index.


Package adams.data.weka.columnfinder

Class adams.data.weka.columnfinder.AbstractColumnFinder extends AbstractOptionHandler implements Serializable

serialVersionUID: 3871603719188736704L

Class adams.data.weka.columnfinder.AbstractColumnFinderWithCapabilities extends AbstractColumnFinder implements Serializable

serialVersionUID: -1036987527953097874L

Class adams.data.weka.columnfinder.AbstractFilteredColumnFinder extends AbstractTrainableColumnFinder implements Serializable

serialVersionUID: 8526492076204492557L

Serialized Fields

m_ColumnFinder

ColumnFinder m_ColumnFinder
the ColumnFinder to apply.

Class adams.data.weka.columnfinder.AbstractTrainableColumnFinder extends AbstractColumnFinder implements Serializable

serialVersionUID: 3800769979430280486L

Serialized Fields

m_Trained

boolean m_Trained
whether the column finder was trained already.

Class adams.data.weka.columnfinder.ByName extends AbstractColumnFinder implements Serializable

serialVersionUID: 2989233908194930918L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp
the regular expression to match the attribute names against.

Class adams.data.weka.columnfinder.Invert extends AbstractFilteredColumnFinder implements Serializable

serialVersionUID: -3635836960365586341L

Class adams.data.weka.columnfinder.MultiColumnFinder extends AbstractTrainableColumnFinder implements Serializable

serialVersionUID: 1441664440186470414L

Serialized Fields

m_Finders

ColumnFinder[] m_Finders
the column finders to use.


m_Combination

MultiColumnFinder.Combination m_Combination
how the indices are combined.

Class adams.data.weka.columnfinder.NullFinder extends AbstractColumnFinder implements Serializable

serialVersionUID: -7945692540826937829L

Class adams.data.weka.columnfinder.RowFilteredColumnFinder extends AbstractFilteredColumnFinder implements Serializable

serialVersionUID: -2963065019052042099L

Serialized Fields

m_RowFinder

RowFinder m_RowFinder
the RowFinder to use first.


m_ColumnFinderTrained

boolean m_ColumnFinderTrained
whether the column finder was trained on the subset.


Package adams.data.weka.evaluator

Class adams.data.weka.evaluator.AbstractCrossvalidatedInstanceEvaluator extends AbstractDatasetInstanceEvaluator implements Serializable

serialVersionUID: 5958214723994891350L

Serialized Fields

m_Folds

int m_Folds
the number of folds for cross-validation.


m_Seed

int m_Seed
the random seed for cross-valiation.

Class adams.data.weka.evaluator.AbstractDatasetInstanceEvaluator extends AbstractInstanceEvaluator implements Serializable

serialVersionUID: 7443189522006925538L

Serialized Fields

m_Data

weka.core.Instances m_Data
the data set to use for training and other bits.


m_Threshold

double m_Threshold
the percentage to the threshold.

Class adams.data.weka.evaluator.AbstractInstanceEvaluator extends AbstractOptionHandler implements Serializable

serialVersionUID: -7170199569631424162L

Serialized Fields

m_Initialized

boolean m_Initialized
whether the evaluator got initialized.

Class adams.data.weka.evaluator.IntervalEstimatorBased extends AbstractCrossvalidatedInstanceEvaluator<IntervalEstimatorBased.SortedInterval> implements Serializable

serialVersionUID: -7760097633698319552L

Serialized Fields

m_Classifier

weka.classifiers.Classifier m_Classifier
the IntervalEstimator to use.


m_ConfidenceLevel

double m_ConfidenceLevel
the confidence level.


m_RelativeWidths

boolean m_RelativeWidths
whether to divide the calculated widths by the class value.


m_MaxWidth

double m_MaxWidth
the maximum width allowed.


m_MinWidth

double m_MinWidth
the minimum width encountered.

Class adams.data.weka.evaluator.NamedSetup extends AbstractInstanceEvaluator implements Serializable

serialVersionUID: 4379805017266122486L

Serialized Fields

m_Setup

NamedSetup m_Setup
the name of the setup to load.


m_ActualScheme

AbstractInstanceEvaluator m_ActualScheme
the actual scheme.

Class adams.data.weka.evaluator.PassThrough extends AbstractInstanceEvaluator implements Serializable

serialVersionUID: -8364993668286801038L


Package adams.data.weka.predictions

Class adams.data.weka.predictions.AbstractErrorScaler extends AbstractOptionHandler implements Serializable

serialVersionUID: 8939995790855583352L

Class adams.data.weka.predictions.AutoScaler extends AbstractErrorScaler implements Serializable

serialVersionUID: 1719519275224776613L

Serialized Fields

m_Scaler

AbstractErrorScaler m_Scaler
the scaler to use for numeric classes.

Class adams.data.weka.predictions.FixedSizeErrorScaler extends AbstractErrorScaler implements Serializable

serialVersionUID: 2274050632411008699L

Serialized Fields

m_Size

int m_Size
the size.

Class adams.data.weka.predictions.NamedSetup extends AbstractErrorScaler implements Serializable

serialVersionUID: 1821796377411070232L

Serialized Fields

m_Setup

NamedSetup m_Setup
the name of the setup to load.


m_ActualScheme

AbstractErrorScaler m_ActualScheme
the actual scheme.

Class adams.data.weka.predictions.RelativeNumericErrorScaler extends AbstractErrorScaler implements Serializable

serialVersionUID: -8616657706467047751L

Serialized Fields

m_MaxSize

int m_MaxSize
the maximum size.

Class adams.data.weka.predictions.RoundErrorScaler extends AbstractErrorScaler implements Serializable

serialVersionUID: -8616657706467047751L


Package adams.data.weka.rowfinder

Class adams.data.weka.rowfinder.AbstractFilteredRowFinder extends AbstractTrainableRowFinder implements Serializable

serialVersionUID: 7779829526710745924L

Serialized Fields

m_RowFinder

RowFinder m_RowFinder
the RowFinder to apply.

Class adams.data.weka.rowfinder.AbstractRowFinder extends AbstractOptionHandler implements Serializable

serialVersionUID: 3871603719188736704L

Class adams.data.weka.rowfinder.AbstractRowFinderWithCapabilities extends AbstractRowFinder implements Serializable

serialVersionUID: -1036987527953097874L

Class adams.data.weka.rowfinder.AbstractTrainableRowFinder extends AbstractRowFinder implements Serializable

serialVersionUID: 3800769979430280486L

Serialized Fields

m_Trained

boolean m_Trained
whether the row finder was trained already.

Class adams.data.weka.rowfinder.ByLabel extends AbstractRowFinder implements Serializable

serialVersionUID: 2989233908194930918L

Serialized Fields

m_AttributeIndex

Index m_AttributeIndex
the attribute index to work on.


m_RegExp

BaseRegExp m_RegExp
the regular expression to match the labels against.

Class adams.data.weka.rowfinder.FilteredIQR extends AbstractTrainableRowFinder implements Serializable

serialVersionUID: -2705356105829555109L

Serialized Fields

m_PreFilter

weka.filters.Filter m_PreFilter
the filter to apply to the data first.


m_Filter

weka.filters.unsupervised.attribute.InterquartileRange m_Filter
the IQR filter.


m_ActualFilter

weka.filters.unsupervised.attribute.InterquartileRange m_ActualFilter
the actual IQR filter.


m_IQR

double m_IQR
the maximum value of the attribute.


m_Range

Range m_Range
the attribute range to work on.


m_FullFilter

weka.filters.MultiFilter m_FullFilter
the MultiFilter doing all the filtering.

Class adams.data.weka.rowfinder.Invert extends AbstractFilteredRowFinder implements Serializable

serialVersionUID: -3635836960365586341L

Class adams.data.weka.rowfinder.MultiRowFinder extends AbstractTrainableRowFinder implements Serializable

serialVersionUID: 1441664440186470414L

Serialized Fields

m_Finders

RowFinder[] m_Finders
the row finders to use.


m_Combination

MultiRowFinder.Combination m_Combination
how the indices are combined.

Class adams.data.weka.rowfinder.NullFinder extends AbstractRowFinder implements Serializable

serialVersionUID: -7945692540826937829L


Package adams.env

Class adams.env.AbstractEnvironment extends Object implements Serializable

serialVersionUID: -2199293612498875147L

Serialized Fields

m_Properties

Hashtable<K,V> m_Properties

m_Definitions

Hashtable<K,V> m_Definitions

m_ApplicationFrame

AbstractApplicationFrame m_ApplicationFrame

m_DebugLevel

int m_DebugLevel

Class adams.env.AbstractPropertiesDefinition extends Object implements Serializable

serialVersionUID: -3693649083932752468L

Class adams.env.ActorSuggestionDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ActorTemplateSuggestionDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 4240048624553812140L

Class adams.env.ClassListerBlacklistDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ClassListerDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ConditionsDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ConversionDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.DatabaseConnectionDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.DriversDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: -6976648126780541240L

Class adams.env.Environment extends AbstractEnvironment implements Serializable

serialVersionUID: -2199293612498875147L

Class adams.env.FlowControlCenterPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.FlowEditorPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.FlowEditorPanelShortcutsDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.FlowRunnerPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.GOEBlacklistDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.GOEEditorsDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.GUIHelperDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ImageViewerPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.InstanceCompareDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.InstanceExplorerDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.LogDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.LogEntryDBViewerPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.LogEntryDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.LogEntryViewerPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.MemoryMonitorDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: -1939226139381033216L

Class adams.env.ModuleDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 3836982214059912729L

Class adams.env.Modules.Module extends Object implements Serializable

serialVersionUID: 7936617163709734744L

Serialized Fields

m_Name

String m_Name

m_Description

String m_Description

m_Author

String m_Author

m_Organization

String m_Organization

m_Logo

ImageIcon m_Logo

Class adams.env.NamedSetupsDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 761924597513800238L

Class adams.env.OptionsDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.PerformanceDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 8866525695906238220L

Class adams.env.PlaceholdersDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 761924597513800238L

Class adams.env.PreviewBrowserPanelDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ProvenanceDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ProvenanceTreeDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ProxyDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ScriptingDialogDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ScriptingEngineDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.ScriptingLoggerDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.SequenceViewerDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.Setup extends Object implements Serializable

serialVersionUID: 4280435277797929265L

Serialized Fields

m_PropertiesFile

String m_PropertiesFile

m_Directories

Vector<E> m_Directories

m_Overrides

Vector<E> m_Overrides

Class adams.env.TableDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 288970991741946271L

Class adams.env.WineDefinition extends AbstractPropertiesDefinition implements Serializable

serialVersionUID: 8202332734202753259L


Package adams.event

Class adams.event.DatabaseConnectionChangeEvent extends ChangeEvent implements Serializable

serialVersionUID: -4819016430256498493L

Serialized Fields

m_Type

DatabaseConnectionChangeEvent.Type m_Type

Class adams.event.FitnessChangeEvent extends EventObject implements Serializable

serialVersionUID: 4900409199763866247L

Serialized Fields

m_Fitness

double m_Fitness
the fitness that triggered this event.

Class adams.event.FlowPauseStateEvent extends EventObject implements Serializable

serialVersionUID: -113405042251910190L

Serialized Fields

m_Type

FlowPauseStateEvent.Type m_Type

Class adams.event.FlowSetupStateEvent extends EventObject implements Serializable

serialVersionUID: -113405042251910190L

Serialized Fields

m_Type

FlowSetupStateEvent.Type m_Type

Class adams.event.JobCompleteEvent extends EventObject implements Serializable

serialVersionUID: -5448976051820797751L

Serialized Fields

m_Job

Job m_Job

m_Result

JobResult m_Result

m_Payload

Object m_Payload

Class adams.event.JobCompleteManagerChangeEvent extends EventObject implements Serializable

serialVersionUID: -1057261141916098683L

Serialized Fields

m_Type

JobCompleteManagerChangeEvent.Type m_Type

Class adams.event.JobListCompleteEvent extends EventObject implements Serializable

serialVersionUID: -81425220563926478L

Serialized Fields

m_Payload

Object m_Payload

Class adams.event.VariableChangeEvent extends EventObject implements Serializable

serialVersionUID: 265149599197540318L

Serialized Fields

m_Type

VariableChangeEvent.Type m_Type

m_Name

String m_Name

Package adams.flow.condition.bool

Class adams.flow.condition.bool.AbstractAttributeCapabilities extends AbstractBooleanCondition implements Serializable

serialVersionUID: 3278345095591806425L

Serialized Fields

m_Capabilities

Capability[] m_Capabilities
the class index.


m_Invert

boolean m_Invert
whether to invert the matching sense.


m_ActualCapabilities

weka.core.Capabilities m_ActualCapabilities
the capabilities object to use.

Class adams.flow.condition.bool.AbstractBooleanCondition extends AbstractOptionHandler implements Serializable

serialVersionUID: 1816980432972492738L

Class adams.flow.condition.bool.AbstractExpression extends AbstractBooleanCondition implements Serializable

serialVersionUID: 4442436759501167843L

Serialized Fields

m_Expression

BooleanExpressionText m_Expression

Class adams.flow.condition.bool.AbstractMultiCondition extends AbstractBooleanCondition implements Serializable

serialVersionUID: -7930281929775307418L

Serialized Fields

m_Conditions

BooleanCondition[] m_Conditions

Class adams.flow.condition.bool.AbstractScript extends AbstractBooleanCondition implements Serializable

serialVersionUID: -5361222828186956465L

Serialized Fields

m_AdditionalOptions

AdditionalOptions m_AdditionalOptions

Class adams.flow.condition.bool.AbstractScriptCondition extends AbstractBooleanCondition implements Serializable

serialVersionUID: -1266048092842841686L

Serialized Fields

m_ScriptFile

PlaceholderFile m_ScriptFile

m_ScriptOptions

String m_ScriptOptions

Class adams.flow.condition.bool.AdamsInstanceCapabilities extends AbstractAttributeCapabilities implements Serializable

serialVersionUID: 3278345095591806425L

Class adams.flow.condition.bool.And extends AbstractMultiCondition implements Serializable

serialVersionUID: 6011135059965158475L

Class adams.flow.condition.bool.BooleanReportValue extends AbstractBooleanCondition implements Serializable

serialVersionUID: -9169161144858552052L

Serialized Fields

m_Field

Field m_Field

Class adams.flow.condition.bool.Counting extends AbstractBooleanCondition implements Serializable

serialVersionUID: 8559824356449366329L

Serialized Fields

m_Minimum

int m_Minimum

m_Maximum

int m_Maximum

m_Interval

int m_Interval

m_Current

int m_Current

Class adams.flow.condition.bool.DirectoryExists extends AbstractBooleanCondition implements Serializable

serialVersionUID: 912094591109587908L

Serialized Fields

m_Directory

PlaceholderDirectory m_Directory

Class adams.flow.condition.bool.Expression extends AbstractExpression implements Serializable

serialVersionUID: -9169161144858552052L

Class adams.flow.condition.bool.False extends AbstractBooleanCondition implements Serializable

serialVersionUID: -7927342245398106669L

Class adams.flow.condition.bool.FileExists extends AbstractBooleanCondition implements Serializable

serialVersionUID: -6986050060604039765L

Serialized Fields

m_File

PlaceholderFile m_File

Class adams.flow.condition.bool.Not extends AbstractBooleanCondition implements Serializable

serialVersionUID: -7927342245398106669L

Serialized Fields

m_Condition

AbstractBooleanCondition m_Condition

Class adams.flow.condition.bool.Or extends AbstractMultiCondition implements Serializable

serialVersionUID: -7930281929775307418L

Class adams.flow.condition.bool.RandomNumberExpression extends AbstractExpression implements Serializable

serialVersionUID: 5195367806715940844L

Serialized Fields

m_Generator

AbstractRandomNumberGenerator<T extends Number> m_Generator

Class adams.flow.condition.bool.ReportValueExists extends AbstractBooleanCondition implements Serializable

serialVersionUID: 3535479178344450842L

Serialized Fields

m_Field

Field m_Field

Class adams.flow.condition.bool.True extends AbstractBooleanCondition implements Serializable

serialVersionUID: 3278345095591806425L

Class adams.flow.condition.bool.WekaCapabilities extends AbstractAttributeCapabilities implements Serializable

serialVersionUID: 3278345095591806425L

Class adams.flow.condition.bool.WekaClassification extends AbstractBooleanCondition implements Serializable

serialVersionUID: 3278345095591806425L

Serialized Fields

m_ModelFile

PlaceholderFile m_ModelFile
the serialized model to load.


m_ModelActor

GlobalActorReference m_ModelActor
the global actor to get the model from.


m_Model

weka.classifiers.Classifier m_Model
the model that was loaded from the model file.


m_OnTheFly

boolean m_OnTheFly
whether the model gets built on the fly and might not be present at the start.


Package adams.flow.container

Class adams.flow.container.AbstractContainer extends Object implements Serializable

serialVersionUID: -6949950627956848217L

Serialized Fields

m_Values

Hashtable<K,V> m_Values

m_AdditionalNames

HashSet<E> m_AdditionalNames

Class adams.flow.container.SequencePlotterContainer extends AbstractContainer implements Serializable

serialVersionUID: 7610036927945350224L

Class adams.flow.container.WekaClusteringContainer extends AbstractContainer implements Serializable

serialVersionUID: -4345755816230522577L

Class adams.flow.container.WekaModelContainer extends AbstractContainer implements Serializable

serialVersionUID: 5581530171877321061L

Class adams.flow.container.WekaPredictionContainer extends AbstractContainer implements Serializable

serialVersionUID: 872330681430825295L

Class adams.flow.container.WekaTrainTestSetContainer extends AbstractContainer implements Serializable

serialVersionUID: 7650097276531433711L


Package adams.flow.core

Class adams.flow.core.AbstractActor extends AbstractOptionHandler implements Serializable

serialVersionUID: 6658513163932343273L

Serialized Fields

m_Self

AbstractActor m_Self

m_Name

String m_Name

m_FullName

String m_FullName

m_Parent

AbstractActor m_Parent

m_Executed

boolean m_Executed

m_Stopped

boolean m_Stopped

m_StopMessage

String m_StopMessage

m_Headless

boolean m_Headless

m_Annotations

BaseText m_Annotations

m_Skip

boolean m_Skip

m_StopFlowOnError

boolean m_StopFlowOnError

m_DetectedVariables

HashSet<E> m_DetectedVariables

m_DetectedObjectVariables

HashSet<E> m_DetectedObjectVariables

m_VariablesUpdated

HashSet<E> m_VariablesUpdated

m_BackupState

Hashtable<K,V> m_BackupState

m_Root

AbstractActor m_Root

m_StorageHandler

StorageHandler m_StorageHandler

m_ErrorHandler

ErrorHandler m_ErrorHandler

Class adams.flow.core.AbstractDisplay extends AbstractActor implements Serializable

serialVersionUID: 8175993838879683118L

Serialized Fields

m_ShortTitle

boolean m_ShortTitle

m_Width

int m_Width

m_Height

int m_Height

m_X

int m_X

m_Y

int m_Y

m_Panel

BasePanel m_Panel

m_Frame

BaseFrame m_Frame

m_CreateFrame

boolean m_CreateFrame

m_Updating

Boolean m_Updating

Class adams.flow.core.AbstractExternalActor extends AbstractActor implements Serializable

serialVersionUID: 1024129351334661368L

Serialized Fields

m_ActorFile

FlowFile m_ActorFile

m_ExternalActor

AbstractActor m_ExternalActor

m_ActorFileIsVariable

Boolean m_ActorFileIsVariable

m_ActorFileVariable

String m_ActorFileVariable

m_ActorFileChanged

boolean m_ActorFileChanged

Class adams.flow.core.AbstractGlobalActor extends AbstractActor implements Serializable

serialVersionUID: -6652513967046303107L

Serialized Fields

m_GlobalName

GlobalActorReference m_GlobalName

m_GlobalActor

AbstractActor m_GlobalActor

m_Helper

GlobalActorHelper m_Helper

Class adams.flow.core.AbstractNamedSetup extends AbstractActor implements Serializable

serialVersionUID: 1024129351334661368L

Serialized Fields

m_Setup

NamedSetup m_Setup

m_NamedSetupActor

AbstractActor m_NamedSetupActor

Class adams.flow.core.AbstractPropertyUpdater extends AbstractActor implements Serializable

serialVersionUID: 8068932300654252910L

Serialized Fields

m_ActorName

GlobalActorReference m_ActorName

m_Property

String m_Property

Class adams.flow.core.AbstractScriptActor extends AbstractActor implements Serializable

serialVersionUID: -8187233244973711251L

Serialized Fields

m_ScriptFile

PlaceholderFile m_ScriptFile

m_ScriptOptions

String m_ScriptOptions

Class adams.flow.core.ActorHandlerInfo extends Object implements Serializable

serialVersionUID: -6507471599929125550L

Serialized Fields

m_CanContainStandalones

boolean m_CanContainStandalones

m_CanContainSource

boolean m_CanContainSource

m_ActorExecution

ActorExecution m_ActorExecution

m_ForwardsInput

boolean m_ForwardsInput

m_Restrictions

Class<T>[] m_Restrictions

Class adams.flow.core.AdditionalOptions extends Hashtable<String,String> implements Serializable

serialVersionUID: -2378624659828475769L

Class adams.flow.core.Compatibility extends Object implements Serializable

serialVersionUID: -8139225807701691972L

Serialized Fields

m_Strict

boolean m_Strict

Class adams.flow.core.EventHelper extends ConsoleObject implements Serializable

serialVersionUID: -763479272812116920L

Class adams.flow.core.EventReference extends AbstractBaseString implements Serializable

serialVersionUID: 7037481336505908036L

Class adams.flow.core.FlowVariables extends Variables implements Serializable

serialVersionUID: 1085438226194687237L

Serialized Fields

m_Flow

AbstractActor m_Flow

m_Helper

GlobalActorHelper m_Helper

Class adams.flow.core.GlobalActorHelper extends ConsoleObject implements Serializable

serialVersionUID: -763479272812116920L

Class adams.flow.core.GlobalActorReference extends AbstractBaseString implements Serializable

serialVersionUID: 5082359039831645068L

Class adams.flow.core.NullToken extends Token implements Serializable

serialVersionUID: -2164551823465416849L

Class adams.flow.core.PauseStateManager extends ConsoleObject implements Serializable

serialVersionUID: -7910626028332275790L

Serialized Fields

m_Listeners

HashSet<E> m_Listeners

m_Paused

boolean m_Paused

Class adams.flow.core.Token extends Object implements Serializable

serialVersionUID: -619575965753741493L

Serialized Fields

m_Payload

Object m_Payload

m_Provenance

ProvenanceNode m_Provenance

Class adams.flow.core.TriggerableEventReference extends EventReference implements Serializable

serialVersionUID: 3596514589424315665L

Class adams.flow.core.Unknown extends Object implements Serializable

serialVersionUID: 2092879028243453132L


Package adams.flow.sink

Class adams.flow.sink.AbstractAppendableFileWriter extends AbstractFileWriter implements Serializable

serialVersionUID: 1779528876252782006L

Serialized Fields

m_Append

boolean m_Append

Class adams.flow.sink.AbstractComponentDisplayPanel extends AbstractDisplayPanel implements Serializable

serialVersionUID: -2404789994825903954L

Class adams.flow.sink.AbstractDisplay extends AbstractDisplay implements Serializable

serialVersionUID: 8175993838879683118L

Class adams.flow.sink.AbstractDisplayPanel extends BasePanel implements Serializable

serialVersionUID: -5927414957277106664L

Serialized Fields

m_PanelName

String m_PanelName

Class adams.flow.sink.AbstractFileWriter extends AbstractSink implements Serializable

serialVersionUID: 3429427421208115104L

Serialized Fields

m_OutputFile

PlaceholderFile m_OutputFile

Class adams.flow.sink.AbstractGraphicalDisplay extends AbstractDisplay implements Serializable

serialVersionUID: -4882859296402745911L

Serialized Fields

m_Writer

JComponentWriter m_Writer

m_MenuBar

JMenuBar m_MenuBar

m_MenuItemFileClear

JMenuItem m_MenuItemFileClear

m_MenuItemFileSaveAs

JMenuItem m_MenuItemFileSaveAs

m_MenuItemFileSaveTextAs

JMenuItem m_MenuItemFileSaveTextAs

m_MenuItemFileClose

JMenuItem m_MenuItemFileClose

Class adams.flow.sink.AbstractGraphicsGenerator extends AbstractSink implements Serializable

serialVersionUID: -3180921421553773745L

Serialized Fields

m_Title

String m_Title

m_Suffix

String m_Suffix

m_Width

int m_Width

m_Height

int m_Height

m_Output

PlaceholderFile m_Output

m_Writer

JComponentWriter m_Writer

m_Component

JComponent m_Component

m_Frame

BaseFrame m_Frame

Class adams.flow.sink.AbstractScript extends AbstractSink implements Serializable

serialVersionUID: -7675576575035608435L

Serialized Fields

m_AdditionalOptions

AdditionalOptions m_AdditionalOptions

Class adams.flow.sink.AbstractSink extends AbstractActor implements Serializable

serialVersionUID: -6058445209436855028L

Class adams.flow.sink.AbstractTextDisplayPanel extends AbstractDisplayPanel implements Serializable

serialVersionUID: 4636549254255374437L

Class adams.flow.sink.AbstractTextualDisplay extends AbstractDisplay implements Serializable

serialVersionUID: 3852563073987265768L

Serialized Fields

m_Font

Font m_Font

m_AlwaysClear

boolean m_AlwaysClear

m_MenuBar

JMenuBar m_MenuBar

m_MenuItemFileClear

JMenuItem m_MenuItemFileClear

m_MenuItemFileSaveAs

JMenuItem m_MenuItemFileSaveAs

m_MenuItemFileClose

JMenuItem m_MenuItemFileClose

Class adams.flow.sink.AbstractWekaModelWriter extends AbstractFileWriter implements Serializable

serialVersionUID: -259222073894194923L

Class adams.flow.sink.ConditionalSink extends AbstractConditionalActor implements Serializable

serialVersionUID: -406790756394165537L

Class adams.flow.sink.Console extends AbstractSink implements Serializable

serialVersionUID: -4999663588509332995L

Serialized Fields

m_Prefix

String m_Prefix

Class adams.flow.sink.Display extends AbstractTextualDisplay implements Serializable

serialVersionUID: -3655490351179936332L

Serialized Fields

m_MenuItemFilePrint

JMenuItem m_MenuItemFilePrint

m_MenuItemEditUndo

JMenuItem m_MenuItemEditUndo

m_MenuItemEditRedo

JMenuItem m_MenuItemEditRedo

m_MenuItemEditCut

JMenuItem m_MenuItemEditCut

m_MenuItemEditCopy

JMenuItem m_MenuItemEditCopy

m_MenuItemEditPaste

JMenuItem m_MenuItemEditPaste

m_MenuItemEditSelectAll

JMenuItem m_MenuItemEditSelectAll

m_MenuItemEditFind

JMenuItem m_MenuItemEditFind

m_MenuItemEditFindNext

JMenuItem m_MenuItemEditFindNext

m_MenuItemViewFont

JMenuItem m_MenuItemViewFont

Class adams.flow.sink.DisplayPanelManager extends AbstractDisplay implements Serializable

serialVersionUID: 3365817040968234289L

Serialized Fields

m_HistoryPanel

DisplayPanelManager.HistorySplitPanel m_HistoryPanel

m_PanelProvider

DisplayPanelProvider m_PanelProvider

m_MenuBar

JMenuBar m_MenuBar

m_MenuItemFileClear

JMenuItem m_MenuItemFileClear

m_MenuItemFileSaveAs

JMenuItem m_MenuItemFileSaveAs

m_MenuItemFileClose

JMenuItem m_MenuItemFileClose

Class adams.flow.sink.DisplayPanelManager.DisplayPanelHistoryPanel extends AbstractNamedHistoryPanel<DisplayPanel> implements Serializable

serialVersionUID: 1704390033157269580L

Serialized Fields

m_Panel

BasePanel m_Panel

Class adams.flow.sink.DisplayPanelManager.HistorySplitPanel extends BasePanel implements Serializable

serialVersionUID: 5121061351955687610L

Serialized Fields

m_Owner

DisplayPanelManager m_Owner

m_SplitPane

JSplitPane m_SplitPane

m_History

DisplayPanelManager.DisplayPanelHistoryPanel m_History

m_Panel

BasePanel m_Panel

m_Format

SimpleDateFormat m_Format

Class adams.flow.sink.DumpFile extends AbstractAppendableFileWriter implements Serializable

serialVersionUID: -366362262032858011L

Class adams.flow.sink.Exec extends AbstractSink implements Serializable

serialVersionUID: -5040421332565191432L

Serialized Fields

m_Command

String m_Command

m_Conversion

ConversionToString m_Conversion

m_Process

Process m_Process

m_Writer

BufferedWriter m_Writer

Class adams.flow.sink.ExternalSink extends AbstractExternalActor implements Serializable

serialVersionUID: -4660083195948820895L

Class adams.flow.sink.GlobalSink extends AbstractGlobalActor implements Serializable

serialVersionUID: 4736661460553985100L

Class adams.flow.sink.HistoryDisplay extends AbstractTextualDisplay implements Serializable

serialVersionUID: 3365817040968234289L

Serialized Fields

m_HistoryPanel

HistoryDisplay.HistorySplitPanel m_HistoryPanel

m_MenuItemFilePrint

JMenuItem m_MenuItemFilePrint

m_MenuItemEditCopy

JMenuItem m_MenuItemEditCopy

m_MenuItemEditSelectAll

JMenuItem m_MenuItemEditSelectAll

m_MenuItemViewFont

JMenuItem m_MenuItemViewFont

m_MenuItemViewCaret

JCheckBoxMenuItem m_MenuItemViewCaret

m_CaretAtStart

boolean m_CaretAtStart

Class adams.flow.sink.HistoryDisplay.HistorySplitPanel extends BasePanel implements Serializable

serialVersionUID: 5121061351955687610L

Serialized Fields

m_Owner

HistoryDisplay m_Owner

m_SplitPane

JSplitPane m_SplitPane

m_History

BufferHistoryPanel m_History

m_TextPanel

TextEditorPanel m_TextPanel

m_Format

SimpleDateFormat m_Format

Class adams.flow.sink.ImageViewer extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 1523870513962160664L

Serialized Fields

m_ImagePanel

ImagePanel m_ImagePanel

m_Zoom

double m_Zoom

m_BackgroundColor

Color m_BackgroundColor

m_ShowProperties

boolean m_ShowProperties

Class adams.flow.sink.InstantiatableSink extends AbstractInstantiatableActor implements Serializable

serialVersionUID: -6772006127722264274L

Class adams.flow.sink.LogDumper extends AbstractFileWriter implements Serializable

serialVersionUID: 2371387253627286951L

Serialized Fields

m_LoggingStarted

boolean m_LoggingStarted

Class adams.flow.sink.Logger extends AbstractSink implements Serializable

serialVersionUID: 1862024453539320530L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.sink.LogViewer extends AbstractDisplay implements Serializable

serialVersionUID: -1980631598893105134L

Serialized Fields

m_TableEntries

BaseTableWithButtons m_TableEntries

m_ButtonDisplay

JButton m_ButtonDisplay

m_ButtonSave

JButton m_ButtonSave

m_Dialog

AbstractLogEntryDialog m_Dialog

m_Dialogs

ArrayList<E> m_Dialogs

Class adams.flow.sink.MenuItem extends AbstractSink implements Serializable

serialVersionUID: -4210882711380055794L

Serialized Fields

m_MenuItem

AbstractMenuItemDefinition m_MenuItem

Class adams.flow.sink.NamedSetup extends AbstractNamedSetup implements Serializable

serialVersionUID: 7481937312011223794L

Class adams.flow.sink.NotesWriter extends AbstractSink implements Serializable

serialVersionUID: -4977041692875774457L

Serialized Fields

m_OutputDir

PlaceholderDirectory m_OutputDir

m_Generator

AbstractIDGenerator<T> m_Generator

m_Suffix

String m_Suffix

m_OutputDatabaseID

boolean m_OutputDatabaseID

m_OutputErrors

boolean m_OutputErrors

m_OutputWarnings

boolean m_OutputWarnings

m_OutputProcessInformation

boolean m_OutputProcessInformation

m_OutputAll

boolean m_OutputAll

Class adams.flow.sink.Null extends AbstractSink implements Serializable

serialVersionUID: -2091772083812307932L

Class adams.flow.sink.PasteFiles extends AbstractFileWriter implements Serializable

serialVersionUID: -6717503477934358351L

Serialized Fields

m_Delimiter

String m_Delimiter

Class adams.flow.sink.PlotContainerSink extends AbstractFileWriter implements Serializable

serialVersionUID: 3238389451500168650L

Serialized Fields

m_Writer

AbstractSpreadSheetWriter m_Writer

m_SpreadSheet

SpreadSheet m_SpreadSheet

m_TokenCounts

NamedCounter m_TokenCounts

m_Comparator

PlotContainerSink.DoubleComparator m_Comparator

Class adams.flow.sink.PlotContainerSink.DoubleComparator extends Object implements Serializable

serialVersionUID: 4012515986361784010L

Class adams.flow.sink.ProvenanceDisplay extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 3247255046513744115L

Serialized Fields

m_Tree

ProvenanceTree m_Tree

Class adams.flow.sink.ReportDisplay extends AbstractTextualDisplay implements Serializable

serialVersionUID: 934663436062863370L

Serialized Fields

m_Panel

ReportFactory.Panel<C extends ReportContainer,M extends ReportContainerManager> m_Panel

m_SearchPanel

SearchPanel m_SearchPanel

m_ReportSelected

boolean m_ReportSelected

Class adams.flow.sink.Screenshot extends AbstractGraphicsGenerator implements Serializable

serialVersionUID: 4613925594824175758L

Serialized Fields

m_PanelProvider

DisplayPanelProvider m_PanelProvider

m_FilenamePrefix

String m_FilenamePrefix

m_FilenameVariable

VariableName m_FilenameVariable

m_Counter

int m_Counter

Class adams.flow.sink.SequencePlotter extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 3238389451500168650L

Serialized Fields

m_ComparisonType

XYSequencePointComparator.Comparison m_ComparisonType

m_Paintlet

XYSequencePaintlet m_Paintlet

m_MarkerPaintlet

MarkerPaintlet m_MarkerPaintlet

m_ColorProvider

AbstractColorProvider m_ColorProvider

m_Title

String m_Title

m_AxisX

AxisPanelOptions m_AxisX

m_AxisY

AxisPanelOptions m_AxisY

m_PlotUpdater

AbstractPlotUpdater m_PlotUpdater

m_PostProcessor

AbstractSequencePostProcessor m_PostProcessor

m_Counter

NamedCounter m_Counter

Class adams.flow.sink.SideBySideDiff extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 1523870513962160664L

Serialized Fields

m_SideBySideDiffPanel

SideBySideDiffPanel m_SideBySideDiffPanel

Class adams.flow.sink.TextWriter extends AbstractSink implements Serializable

serialVersionUID: 798901949899149659L

Serialized Fields

m_ContentName

String m_ContentName

m_Writer

AbstractTextWriter m_Writer

Class adams.flow.sink.WekaClassifierErrors extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 3247255046513744115L

Serialized Fields

m_VisualizePanel

weka.gui.visualize.VisualizePanel m_VisualizePanel
the Weka plot panel.


m_ErrorScaler

AbstractErrorScaler m_ErrorScaler
The scheme for scaling the errors.

Class adams.flow.sink.WekaCostCurve extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 3247255046513744115L

Serialized Fields

m_VisualizePanel

weka.gui.visualize.ThresholdVisualizePanel m_VisualizePanel
the text area.


m_ClassLabelIndex

Index m_ClassLabelIndex
the class label index.

Class adams.flow.sink.WekaDatabaseWriter extends AbstractSink implements Serializable

serialVersionUID: 7509908838736709270L

Serialized Fields

m_URL

String m_URL
the database URL to query.


m_User

String m_User
the database user to use for connecting.


m_Password

BasePassword m_Password
the password for the user used for connecting.


m_TableName

String m_TableName
protected the name of the table to store the data in.


m_AutoKeyGeneration

boolean m_AutoKeyGeneration
whether to automatically generate a primary key.


m_UseRelationNameAsTable

boolean m_UseRelationNameAsTable
whether to use the relation as table name.


m_CustomPropsFile

PlaceholderFile m_CustomPropsFile
a custom properties file to use instead of default one.


m_Saver

weka.core.converters.DatabaseSaver m_Saver
the database saver.

Class adams.flow.sink.WekaExperimentGenerator extends AbstractSink implements Serializable

serialVersionUID: -586416108746115363L

Serialized Fields

m_ExperimentType

WekaExperimentGenerator.ExperimentType m_ExperimentType
the type of experiment.


m_EvaluationType

WekaExperimentGenerator.EvaluationType m_EvaluationType
the type of evaluation.


m_Runs

int m_Runs
the number of runs to perform.


m_Folds

int m_Folds
the number of folds to use (only cross-validation).


m_SplitPercentage

double m_SplitPercentage
the split-percentage to use (only train/test splits).


m_ResultFormat

WekaExperimentGenerator.ResultFormat m_ResultFormat
the result format.


m_ResultFile

PlaceholderFile m_ResultFile
the file to store the result in.


m_OutputFile

PlaceholderFile m_OutputFile
the file to store the experiment in.

Class adams.flow.sink.WekaFileWriter extends AbstractFileWriter implements Serializable

serialVersionUID: 7509908838736709270L

Serialized Fields

m_UseRelationNameAsFilename

boolean m_UseRelationNameAsFilename
whether to use the relation name as filename.


m_UseCustomSaver

boolean m_UseCustomSaver
whether to use a custom converter.


m_CustomSaver

weka.core.converters.AbstractFileSaver m_CustomSaver
the custom saver.

Class adams.flow.sink.WekaInstancesDisplay extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 6791882185628220997L

Serialized Fields

m_ArffPanel

weka.gui.arffviewer.ArffPanel m_ArffPanel
the panel with the instances.

Class adams.flow.sink.WekaInstanceViewer extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 1283926389472133810L

Serialized Fields

m_InstancePanel

InstancePanel m_InstancePanel
the panel with the instances.


m_ZoomOverview

boolean m_ZoomOverview
whether to display the zoom overview.

Class adams.flow.sink.WekaModelWriter extends AbstractWekaModelWriter implements Serializable

serialVersionUID: -7481684570227846853L

Class adams.flow.sink.WekaROC extends AbstractGraphicalDisplay implements Serializable

serialVersionUID: 3247255046513744115L

Serialized Fields

m_VisualizePanel

weka.gui.visualize.ThresholdVisualizePanel m_VisualizePanel
the text area.


m_ClassLabelIndex

Index m_ClassLabelIndex
the class label index.


Package adams.flow.source

Class adams.flow.source.AbstractArrayProvider extends AbstractSource implements Serializable

serialVersionUID: -6681853409971243043L

Serialized Fields

m_Queue

ArrayList<E> m_Queue

m_OutputArray

boolean m_OutputArray

m_Index

int m_Index

Class adams.flow.source.AbstractConditionalIdSupplier extends AbstractDatabaseIdSupplier implements Serializable

serialVersionUID: -8462709950859959951L

Serialized Fields

m_Conditions

AbstractConditions m_Conditions

Class adams.flow.source.AbstractDatabaseIdSupplier extends AbstractIdSupplier implements Serializable

serialVersionUID: -8462709950859959951L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.source.AbstractForLoop extends AbstractSource implements Serializable

serialVersionUID: 6216146938771296415L

Serialized Fields

m_LoopLower

int m_LoopLower

m_LoopUpper

int m_LoopUpper

m_LoopStep

int m_LoopStep

m_Current

int m_Current

Class adams.flow.source.AbstractIdSupplier extends AbstractArrayProvider implements Serializable

serialVersionUID: -8462709950859959951L

Class adams.flow.source.AbstractInstrumentSupplier extends AbstractArrayProvider implements Serializable

serialVersionUID: -8159720259695436880L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.source.AbstractInteractiveSource extends AbstractSource implements Serializable

serialVersionUID: 9035095174755816475L

Serialized Fields

m_StopFlowIfCanceled

boolean m_StopFlowIfCanceled

m_CustomStopMessage

String m_CustomStopMessage

Class adams.flow.source.AbstractScript extends AbstractSource implements Serializable

serialVersionUID: -1297869573547335888L

Serialized Fields

m_AdditionalOptions

AdditionalOptions m_AdditionalOptions

Class adams.flow.source.AbstractSource extends AbstractActor implements Serializable

serialVersionUID: -5375239839428426386L

Class adams.flow.source.AbstractWekaSetupGenerator extends AbstractSource implements Serializable

serialVersionUID: 673114129476898021L

Serialized Fields

m_OutputArray

boolean m_OutputArray
whether to output an array or a sequence of setups.


m_Generator

SetupGenerator m_Generator
the underlying setup generator.


m_Setups

Vector<E> m_Setups
all the setups.

Class adams.flow.source.ConditionalSource extends AbstractConditionalActor implements Serializable

serialVersionUID: 7326570380151530360L

Class adams.flow.source.DirectoryLister extends AbstractArrayProvider implements Serializable

serialVersionUID: -5015637337437403790L

Serialized Fields

m_Lister

DirectoryLister m_Lister

m_Wait

int m_Wait

m_AlwaysWait

boolean m_AlwaysWait

m_PauseRequired

boolean m_PauseRequired

Class adams.flow.source.EnterValue extends AbstractInteractiveSource implements Serializable

serialVersionUID: 8200691218381875131L

Serialized Fields

m_Message

String m_Message

m_InitialValue

String m_InitialValue

m_SelectionValues

BaseString[] m_SelectionValues

m_NonInteractive

boolean m_NonInteractive

m_OutputToken

Token m_OutputToken

Class adams.flow.source.Exec extends AbstractSource implements Serializable

serialVersionUID: -132045002653940359L

Serialized Fields

m_Command

String m_Command

m_OutputStdErr

boolean m_OutputStdErr

m_SplitOutput

boolean m_SplitOutput

m_Conversion

ConversionFromString m_Conversion

m_Output

Vector<E> m_Output

Class adams.flow.source.ExternalSource extends AbstractExternalActor implements Serializable

serialVersionUID: 5125350715606672813L

Class adams.flow.source.ForLoop extends AbstractForLoop implements Serializable

serialVersionUID: 6216146938771296415L

Class adams.flow.source.GlobalSource extends AbstractGlobalActor implements Serializable

serialVersionUID: -99235787254225765L

Class adams.flow.source.InstantiatableSource extends AbstractInstantiatableActor implements Serializable

serialVersionUID: 3967696714800614587L

Class adams.flow.source.MakeContainer extends AbstractSource implements Serializable

serialVersionUID: -132045002653940359L

Serialized Fields

m_GlobalActors

GlobalActorReference[] m_GlobalActors

m_ValueNames

BaseString[] m_ValueNames

m_ContainerClass

AbstractContainer m_ContainerClass

m_OutputToken

Token m_OutputToken

m_ContainerValues

String m_ContainerValues

Class adams.flow.source.MultiFileSupplier extends AbstractArrayProvider implements Serializable

serialVersionUID: -8288435835502863891L

Serialized Fields

m_Files

PlaceholderFile[] m_Files

Class adams.flow.source.NamedSetup extends AbstractNamedSetup implements Serializable

serialVersionUID: 9161241774518116762L

Class adams.flow.source.NewArray extends AbstractSource implements Serializable

serialVersionUID: 7272049518765623563L

Serialized Fields

m_ArrayClass

String m_ArrayClass

m_Dimensions

ArrayDimensions m_Dimensions

m_OutputToken

Token m_OutputToken

Class adams.flow.source.OptionTraverser extends AbstractSource implements Serializable

serialVersionUID: -4834816502537753658L

Serialized Fields

m_Traverser

OptionTraverser m_Traverser

m_Start

OptionTraverser.TraversalStart m_Start

m_OutputToken

Token m_OutputToken

Class adams.flow.source.PasteFromClipboard extends AbstractInteractiveSource implements Serializable

serialVersionUID: 8200691218381875131L

Serialized Fields

m_Message

String m_Message

m_ClipboardData

AbstractClipboardData<T> m_ClipboardData

m_OutputToken

Token m_OutputToken

Class adams.flow.source.RandomNumberGenerator extends AbstractSource implements Serializable

serialVersionUID: 6216146938771296415L

Serialized Fields

m_Generator

AbstractRandomNumberGenerator<T extends Number> m_Generator

m_MaxNum

int m_MaxNum

m_Count

int m_Count

Class adams.flow.source.SelectDirectory extends AbstractInteractiveSource implements Serializable

serialVersionUID: -3223325917850709883L

Serialized Fields

m_DirectoryChooserTitle

String m_DirectoryChooserTitle

m_InitialDirectory

PlaceholderDirectory m_InitialDirectory

m_AbsoluteDirectoryName

boolean m_AbsoluteDirectoryName

m_NonInteractive

boolean m_NonInteractive

m_OutputToken

Token m_OutputToken

Class adams.flow.source.SelectFile extends AbstractArrayProvider implements Serializable

serialVersionUID: 8200691218381875131L

Serialized Fields

m_FileChooserTitle

String m_FileChooserTitle

m_InitialDirectory

PlaceholderDirectory m_InitialDirectory

m_Extensions

BaseString[] m_Extensions

m_InitialFiles

PlaceholderFile[] m_InitialFiles

m_AbsoluteFileNames

boolean m_AbsoluteFileNames

m_StopFlowIfCanceled

boolean m_StopFlowIfCanceled

m_CustomStopMessage

String m_CustomStopMessage

m_NonInteractive

boolean m_NonInteractive

Class adams.flow.source.SequenceSource extends MutableConnectedControlActor implements Serializable

serialVersionUID: -1007878227244351146L

Class adams.flow.source.SequenceSource.SequenceSourceDirector extends SequentialDirector implements Serializable

serialVersionUID: 1600945233224761728L

Class adams.flow.source.SingleFileSupplier extends AbstractSource implements Serializable

serialVersionUID: -1506790344830159240L

Serialized Fields

m_File

PlaceholderFile m_File

m_OutputToken

Token m_OutputToken

Class adams.flow.source.SQLIdSupplier extends AbstractDatabaseIdSupplier implements Serializable

serialVersionUID: -2269772801929933064L

Serialized Fields

m_SQL

SQLStatement m_SQL

m_Type

SQLIdSupplier.Type m_Type

Class adams.flow.source.Start extends AbstractSource implements Serializable

serialVersionUID: -132045002653940359L

Serialized Fields

m_OutputToken

Token m_OutputToken

Class adams.flow.source.StorageForLoop extends AbstractForLoop implements Serializable

serialVersionUID: 5940182514084428795L

Serialized Fields

m_VariableName

VariableName m_VariableName

m_StorageName

StorageName m_StorageName

Class adams.flow.source.StorageValue extends AbstractSource implements Serializable

serialVersionUID: -44192504096493397L

Serialized Fields

m_Cache

String m_Cache

m_StorageName

StorageName m_StorageName

m_StoredValue

Object m_StoredValue

Class adams.flow.source.StringConstants extends AbstractArrayProvider implements Serializable

serialVersionUID: 1751543256903416330L

Serialized Fields

m_Strings

BaseString[] m_Strings

Class adams.flow.source.Variable extends AbstractSource implements Serializable

serialVersionUID: -7838881435448178095L

Serialized Fields

m_VariableName

VariableName m_VariableName

m_VariableValue

String m_VariableValue

Class adams.flow.source.WekaClassifierGenerator extends AbstractWekaSetupGenerator<weka.classifiers.Classifier> implements Serializable

serialVersionUID: -6802585691566163552L

Class adams.flow.source.WekaClustererGenerator extends AbstractWekaSetupGenerator<weka.clusterers.Clusterer> implements Serializable

serialVersionUID: -6802585691566163552L

Class adams.flow.source.WekaDatabaseReader extends AbstractSource implements Serializable

serialVersionUID: 1255964542481136089L

Serialized Fields

m_URL

String m_URL
the database URL to query.


m_User

String m_User
the database user to use for connecting.


m_Password

BasePassword m_Password
the password for the user used for connecting.


m_Query

SQLStatement m_Query
the query to execute.


m_Keys

String m_Keys
the keys that uniquely identify a single row.


m_Incremental

boolean m_Incremental
whether to output the data row-by-row.


m_SparseFormat

boolean m_SparseFormat
whether to output data in sparse format.


m_CustomPropsFile

PlaceholderFile m_CustomPropsFile
a custom properties file to use instead of default one.


m_Structure

weka.core.Instances m_Structure
the structure.


m_Source

weka.core.converters.DatabaseLoader m_Source
the actual loader for loading the data.


m_NextInstance

weka.core.Instance m_NextInstance
the next instance to output.


m_Data

weka.core.Instances m_Data
the full data.

Class adams.flow.source.WekaDataGenerator extends AbstractSource implements Serializable

serialVersionUID: 1862828539481494711L

Serialized Fields

m_DataGenerator

weka.datagenerators.DataGenerator m_DataGenerator
the filter to apply.

Class adams.flow.source.WekaFilterGenerator extends AbstractWekaSetupGenerator<weka.filters.Filter> implements Serializable

serialVersionUID: -6802585691566163552L

Class adams.flow.source.WekaNewInstances extends AbstractSource implements Serializable

serialVersionUID: 1862828539481494711L

Serialized Fields

m_AttributeTypes

AttributeTypeList m_AttributeTypes
the comma-separated list of attribute types.


m_AttributeNames

BaseList m_AttributeNames
the comma-separated list of attribute names.


m_ClassIndex

Index m_ClassIndex
the index for the class attribute, if any.


m_ClassName

String m_ClassName
the name for the class attribute, if any.


m_RelationName

String m_RelationName
the name for the relation, if any.


Package adams.flow.template

Class adams.flow.template.AbstractActorTemplate extends AbstractOptionHandler implements Serializable

serialVersionUID: 4962299214177742036L

Serialized Fields

m_Name

String m_Name

Class adams.flow.template.AbstractScript extends AbstractActorTemplate implements Serializable

serialVersionUID: -1297869573547335888L

Serialized Fields

m_AdditionalOptions

AdditionalOptions m_AdditionalOptions

Class adams.flow.template.AbstractScriptTemplate extends AbstractActorTemplate implements Serializable

serialVersionUID: -6644860566598093960L

Serialized Fields

m_ScriptFile

PlaceholderFile m_ScriptFile

m_ScriptOptions

String m_ScriptOptions

Class adams.flow.template.DummySink extends AbstractActorTemplate implements Serializable

serialVersionUID: 2310015199489870240L

Class adams.flow.template.DummySource extends AbstractActorTemplate implements Serializable

serialVersionUID: 4780085282410175616L

Class adams.flow.template.DummyStandalone extends AbstractActorTemplate implements Serializable

serialVersionUID: 5827973520910591110L

Class adams.flow.template.DummyTransformer extends AbstractActorTemplate implements Serializable

serialVersionUID: -8919373368079011035L

Class adams.flow.template.EndlessLoop extends AbstractActorTemplate implements Serializable

serialVersionUID: 4941969321036423043L

Class adams.flow.template.FromFile extends AbstractActorTemplate implements Serializable

serialVersionUID: -2578720795833851960L

Serialized Fields

m_TemplateFile

PlaceholderFile m_TemplateFile

Class adams.flow.template.InstanceDumperVariable extends AbstractActorTemplate implements Serializable

serialVersionUID: 2310015199489870240L

Serialized Fields

m_VariableName

VariableName m_VariableName
the variable to update.

Class adams.flow.template.OptionTraverser extends AbstractActorTemplate implements Serializable

serialVersionUID: 7111338348242418621L

Serialized Fields

m_Traverser

OptionTraverser m_Traverser

m_Start

OptionTraverser.TraversalStart m_Start

m_Once

boolean m_Once

Class adams.flow.template.ProgressInConsole extends AbstractActorTemplate implements Serializable

serialVersionUID: 2310015199489870240L

Serialized Fields

m_Interval

int m_Interval

m_Prefix

String m_Prefix

Class adams.flow.template.StoreReportValueInVariable extends AbstractActorTemplate implements Serializable

serialVersionUID: 2310015199489870240L

Serialized Fields

m_Field

Field m_Field

m_VariableName

VariableName m_VariableName

Class adams.flow.template.StringReplace extends FromFile implements Serializable

serialVersionUID: -8975800423604842422L

Serialized Fields

m_Find

BaseRegExp[] m_Find

m_Replace

BaseString[] m_Replace

Class adams.flow.template.UpdateVariable extends AbstractActorTemplate implements Serializable

serialVersionUID: 2310015199489870240L

Serialized Fields

m_VariableName

VariableName m_VariableName

Package adams.flow.transformer

Class adams.flow.transformer.AbstractDataContainerDbReader extends AbstractTransformer implements Serializable

serialVersionUID: -4736058667429890220L

Serialized Fields

m_Raw

boolean m_Raw

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractDataContainerDbWriter extends AbstractTransformer implements Serializable

serialVersionUID: -7382952208593440101L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractDataContainerFileImport extends AbstractDataProcessor implements Serializable

serialVersionUID: -3449734957975707303L

Serialized Fields

m_Reader

AbstractDataContainerReader<T extends DataContainer> m_Reader

m_IDs

Vector<E> m_IDs

m_Containers

Vector<E> m_Containers

m_Import

boolean m_Import

m_Forward

boolean m_Forward

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractDataContainerFileReader extends AbstractTransformer implements Serializable

serialVersionUID: 2136481673137019370L

Serialized Fields

m_Reader

AbstractDataContainerReader<T extends DataContainer> m_Reader

m_Containers

Vector<E> m_Containers

Class adams.flow.transformer.AbstractDataContainerFileWriter extends AbstractTransformer implements Serializable

serialVersionUID: -2589436559371405252L

Serialized Fields

m_Writer

AbstractDataContainerWriter<T extends DataContainer> m_Writer

m_OutputDir

PlaceholderDirectory m_OutputDir

Class adams.flow.transformer.AbstractDataContainerTransformer extends AbstractTransformer implements Serializable

serialVersionUID: -2382262152717706634L

Class adams.flow.transformer.AbstractDataProcessor extends AbstractTransformer implements Serializable

serialVersionUID: 9062714175599800719L

Serialized Fields

m_Processing

PlaceholderDirectory m_Processing

m_Processed

PlaceholderDirectory m_Processed

m_Failed

PlaceholderDirectory m_Failed

m_ProcessError

String m_ProcessError

m_UseTimestampDirs

boolean m_UseTimestampDirs

m_TimestampDirFormat

SimpleDateFormat m_TimestampDirFormat

Class adams.flow.transformer.AbstractDeleteDataContainer extends AbstractTransformer implements Serializable

serialVersionUID: -4736058667429890220L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractFilter extends AbstractDataContainerTransformer implements Serializable

serialVersionUID: 4527040722924866539L

Serialized Fields

m_Filter

AbstractFilter<T extends DataContainer> m_Filter

Class adams.flow.transformer.AbstractGetReportValue extends AbstractTransformer implements Serializable

serialVersionUID: -6237324482439105653L

Serialized Fields

m_Field

AbstractField m_Field

Class adams.flow.transformer.AbstractGlobalWekaClassifierEvaluator extends AbstractWekaClassifierEvaluator implements Serializable

serialVersionUID: 3440872619963043115L

Serialized Fields

m_Classifier

GlobalActorReference m_Classifier
the name of the global weka classifier.


m_DiscardPredictions

boolean m_DiscardPredictions
whether to discard predictions.

Class adams.flow.transformer.AbstractInstanceGenerator extends AbstractTransformer implements Serializable

serialVersionUID: 9173099269238100664L

Serialized Fields

m_Generator

AbstractInstanceGenerator<T extends DataContainer & ReportHandler> m_Generator
the generator to use.

Class adams.flow.transformer.AbstractInteractiveTransformer extends AbstractTransformer implements Serializable

serialVersionUID: 9035095174755816475L

Serialized Fields

m_StopFlowIfCanceled

boolean m_StopFlowIfCanceled

m_CustomStopMessage

String m_CustomStopMessage

Class adams.flow.transformer.AbstractInteractiveTransformerDialog extends AbstractTransformer implements Serializable

serialVersionUID: -9002360111241208309L

Serialized Fields

m_ShortTitle

boolean m_ShortTitle

m_Width

int m_Width

m_Height

int m_Height

m_X

int m_X

m_Y

int m_Y

m_Panel

BasePanel m_Panel

m_Dialog

BaseDialog m_Dialog

m_StopFlowIfCanceled

boolean m_StopFlowIfCanceled

m_CustomStopMessage

String m_CustomStopMessage

m_SuccessfulInteraction

Boolean m_SuccessfulInteraction

Class adams.flow.transformer.AbstractProcessWekaInstanceWithModel extends AbstractTransformer implements Serializable

serialVersionUID: -5275241130624220000L

Serialized Fields

m_ModelFile

PlaceholderFile m_ModelFile
the serialized model to load.


m_ModelActor

GlobalActorReference m_ModelActor
the global actor to get the model from.


m_Model

Object m_Model
the model that was loaded from the model file.


m_OnTheFly

boolean m_OnTheFly
whether the model gets built on the fly and might not be present at the start.

Class adams.flow.transformer.AbstractReportDbReader extends AbstractTransformer implements Serializable

serialVersionUID: 7352720726300796621L

Serialized Fields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractReportDbWriter extends AbstractTransformer implements Serializable

serialVersionUID: -5253006932367969870L

Serialized Fields

m_RemoveExisting

boolean m_RemoveExisting

m_Merge

boolean m_Merge

m_OverwriteFields

Field[] m_OverwriteFields

m_StandaloneReports

boolean m_StandaloneReports

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractReportFileImport extends AbstractDataProcessor implements Serializable

serialVersionUID: -4427045123505865448L

Serialized Fields

m_IDs

Vector<E> m_IDs

m_Reports

Vector<E> m_Reports

m_Reader

AbstractReportReader<T extends Report> m_Reader

m_RemoveExisting

boolean m_RemoveExisting

m_Import

boolean m_Import

m_Forward

boolean m_Forward

m_Merge

boolean m_Merge

m_OverwriteFields

Field[] m_OverwriteFields

m_DatabaseConnection

AbstractDatabaseConnection m_DatabaseConnection

Class adams.flow.transformer.AbstractReportFileReader extends AbstractTransformer implements Serializable

serialVersionUID: -207124154855872209L

Serialized Fields

m_Reader

AbstractReportReader<T extends Report> m_Reader

m_Reports

Vector<E> m_Reports

Class adams.flow.transformer.AbstractReportFileWriter extends AbstractTransformer implements Serializable

serialVersionUID: -5209437097716008045L

Serialized Fields

m_Writer

AbstractReportWriter<T extends Report> m_Writer

m_OutputDir

PlaceholderDirectory m_OutputDir

m_Generator

AbstractFilenameGenerator m_Generator

Class adams.flow.transformer.AbstractScript extends AbstractTransformer implements Serializable

serialVersionUID: 581247128691762349L

Serialized Fields

m_AdditionalOptions

AdditionalOptions m_AdditionalOptions

Class adams.flow.transformer.AbstractSetReportValue extends AbstractTransformer implements Serializable

serialVersionUID: -5937471470417243026L

Serialized Fields

m_Field

AbstractField m_Field

m_Value

String m_Value

Class adams.flow.transformer.AbstractStringOperation extends AbstractTransformer implements Serializable

serialVersionUID: -2139865260017627684L

Class adams.flow.transformer.AbstractTransformer extends AbstractActor implements Serializable

serialVersionUID: 150539732201567735L

Class adams.flow.transformer.AbstractWekaClassifierEvaluator extends AbstractTransformer implements Serializable

serialVersionUID: 7740799988980266316L

Serialized Fields

m_Output

weka.classifiers.evaluation.output.prediction.AbstractOutput m_Output
for generating predictions output.


m_OutputBuffer

StringBuffer m_OutputBuffer
the buffer for the predictions.

Class adams.flow.transformer.AbstractWekaInstanceAndWekaInstancesTransformer extends AbstractTransformer implements Serializable

serialVersionUID: 1777730597434025843L

Class adams.flow.transformer.AbstractWekaModelReader extends AbstractTransformer implements Serializable

serialVersionUID: -2949611378612429555L

Serialized Fields

m_OutputOnlyModel

boolean m_OutputOnlyModel
whether to only output the model.

Class adams.flow.transformer.AbstractWekaPredictionsTransformer extends AbstractTransformer implements Serializable

serialVersionUID: 8682062846689759416L

Serialized Fields

m_AddLabelIndex

boolean m_AddLabelIndex
whether to prefix the labels with a 1-based index (only nominal classes).


m_ShowError

boolean m_ShowError
whether to add an error colunm.


m_ShowProbability

boolean m_ShowProbability
whether to output the probability of the prediction (only nominal classes).


m_ShowDistribution

boolean m_ShowDistribution
whether to output the class distribution (only nominal classes).


m_ShowWeight

boolean m_ShowWeight
whether to output the weight as well.

Class adams.flow.transformer.AnyToCommandline extends AbstractTransformer implements Serializable

serialVersionUID: -7541966393995927607L

Class adams.flow.transformer.AppendName extends AbstractTransformer implements Serializable

serialVersionUID: 4670761846363281951L

Serialized Fields

m_Suffix

String m_Suffix

m_NoSeparator

boolean m_NoSeparator

Class adams.flow.transformer.ArrayCombinations extends AbstractTransformer implements Serializable

serialVersionUID: -1405432778848290110L

Serialized Fields

m_Length

int m_Length

m_Elements

Vector<E> m_Elements

m_Subsets

ArrayCombinations.SubsetsType m_Subsets

Class adams.flow.transformer.ArrayLength extends AbstractTransformer implements Serializable

serialVersionUID: -2381609485309053125L

Class adams.flow.transformer.ArrayStatistic extends AbstractTransformer implements Serializable

serialVersionUID: 8536100625511019961L

Serialized Fields

m_DataType

ArrayStatistic.DataType m_DataType

m_Locations

BaseString[] m_Locations

m_Statistic

AbstractArrayStatistic<T extends Serializable> m_Statistic

Class adams.flow.transformer.ArrayToSequence extends AbstractTransformer implements Serializable

serialVersionUID: 9062714175599800719L

Serialized Fields

m_Elements

Vector<E> m_Elements

Class adams.flow.transformer.BaseName extends AbstractTransformer implements Serializable

serialVersionUID: 4670761846363281951L

Class adams.flow.transformer.CollectionToSequence extends AbstractTransformer implements Serializable

serialVersionUID: -8967664394563844948L

Serialized Fields

m_Elements

Vector<E> m_Elements

Class adams.flow.transformer.CommandlineToAny extends AbstractTransformer implements Serializable

serialVersionUID: -6867430399725993953L

Class adams.flow.transformer.ConditionalTransformer extends AbstractConditionalActor implements Serializable

serialVersionUID: -9200572023682370972L

Class adams.flow.transformer.ConfirmationDialog extends AbstractInteractiveTransformer implements Serializable

serialVersionUID: 8200691218381875131L

Serialized Fields

m_Message

String m_Message

m_UseCustomTokens

boolean m_UseCustomTokens

m_YesToken

String m_YesToken

m_NoToken

String m_NoToken

Class adams.flow.transformer.Convert extends AbstractTransformer implements Serializable

serialVersionUID: 1704879993786242375L

Serialized Fields

m_Conversion

Conversion m_Conversion

Class adams.flow.transformer.Copy extends AbstractTransformer implements Serializable

serialVersionUID: -735652783986676809L

Class adams.flow.transformer.CopyFile extends AbstractTransformer implements Serializable

serialVersionUID: 4670761846363281951L

Serialized Fields

m_CreateSubDirectories

boolean m_CreateSubDirectories

m_RegExp

BaseRegExp m_RegExp

m_TargetDirectory

PlaceholderDirectory m_TargetDirectory

Class adams.flow.transformer.CopyToClipboard extends AbstractTransformer implements Serializable

serialVersionUID: 481992931607340358L

Serialized Fields

m_ClipboardData

AbstractClipboardData<T> m_ClipboardData

Class adams.flow.transformer.DeleteFile extends AbstractTransformer implements Serializable

serialVersionUID: 4670761846363281951L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp

Class adams.flow.transformer.DeleteStorageValue extends AbstractTransformer implements Serializable

serialVersionUID: 3427074997423945878L

Serialized Fields

m_Cache

String m_Cache

m_StorageName

StorageName m_StorageName

Class adams.flow.transformer.DeleteVariable extends AbstractTransformer implements Serializable

serialVersionUID: -3383735680425581504L

Serialized Fields

m_VariableName

VariableName m_VariableName

Class adams.flow.transformer.Diff extends AbstractTransformer implements Serializable

serialVersionUID: -5101920243595168374L

Serialized Fields

m_Type

Diff.DiffType m_Type

Class adams.flow.transformer.DirName extends AbstractTransformer implements Serializable

serialVersionUID: 4670761846363281951L

Class adams.flow.transformer.ExternalTransformer extends AbstractExternalActor implements Serializable

serialVersionUID: 8557732787822426844L

Class adams.flow.transformer.FileExtension extends AbstractTransformer implements Serializable

serialVersionUID: -2838258525424174583L

Serialized Fields

m_IncludeDot

boolean m_IncludeDot

Class adams.flow.transformer.GetArrayElement extends AbstractTransformer implements Serializable

serialVersionUID: -3483275959738804271L

Serialized Fields

m_Index

Index m_Index

Class adams.flow.transformer.GetID extends AbstractTransformer implements Serializable

serialVersionUID: -6485136495553425947L

Class adams.flow.transformer.GetReportValue extends AbstractGetReportValue implements Serializable

serialVersionUID: -6237324482439105653L

Class adams.flow.transformer.GlobalTransformer extends AbstractGlobalActor implements Serializable

serialVersionUID: -4898610818562897692L

Class adams.flow.transformer.IDGenerator extends AbstractTransformer implements Serializable

serialVersionUID: 7195919809805609634L

Serialized Fields

m_Generator

AbstractIDGenerator<T> m_Generator

Class adams.flow.transformer.IncStorageValue extends AbstractTransformer implements Serializable

serialVersionUID: 4563837784851442207L

Serialized Fields

m_StorageName

StorageName m_StorageName

m_IncrementType

IncStorageValue.IncrementType m_IncrementType

m_IntegerIncrement

int m_IntegerIncrement

m_DoubleIncrement

double m_DoubleIncrement

Class adams.flow.transformer.IncVariable extends AbstractTransformer implements Serializable

serialVersionUID: -8466653808821254082L

Serialized Fields

m_VariableName

VariableName m_VariableName

m_IncrementType

IncVariable.IncrementType m_IncrementType

m_IntegerIncrement

int m_IntegerIncrement

m_DoubleIncrement

double m_DoubleIncrement

Class adams.flow.transformer.InstantiatableTransformer extends AbstractInstantiatableActor implements Serializable

serialVersionUID: 8368893400510024005L

Class adams.flow.transformer.MakeDir extends AbstractTransformer implements Serializable

serialVersionUID: 6057852784860612379L

Class adams.flow.transformer.MakeLogEntry extends AbstractTransformer implements Serializable

serialVersionUID: -6516304745462094703L

Serialized Fields

m_LogType

String m_LogType

m_LogSource

String m_LogSource

Class adams.flow.transformer.MakePlotContainer extends AbstractTransformer implements Serializable

serialVersionUID: 2488434486963278287L

Serialized Fields

m_PlotName

String m_PlotName

m_IsMarker

boolean m_IsMarker

Class adams.flow.transformer.MatchReportFields extends AbstractTransformer implements Serializable

serialVersionUID: -6237324482439105653L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp

m_Queue

ArrayList<E> m_Queue

Class adams.flow.transformer.MathExpression extends AbstractTransformer implements Serializable

serialVersionUID: -8477454145267616359L

Serialized Fields

m_Expression

MathematicalExpressionText m_Expression

m_OutputValuePair

boolean m_OutputValuePair

Class adams.flow.transformer.Max extends AbstractTransformer implements Serializable

serialVersionUID: 2007764064808349672L

Serialized Fields

m_ReturnIndex

boolean m_ReturnIndex

Class adams.flow.transformer.MessageDigest extends AbstractTransformer implements Serializable

serialVersionUID: 8395316814322443892L

Serialized Fields

m_Type

MessageDigest.MessageDigestType m_Type

Class adams.flow.transformer.Min extends AbstractTransformer implements Serializable

serialVersionUID: 2007764064808349672L

Serialized Fields

m_ReturnIndex

boolean m_ReturnIndex

Class adams.flow.transformer.MoveFile extends AbstractTransformer implements Serializable

serialVersionUID: -1725398133887399010L

Serialized Fields

m_File

PlaceholderFile m_File

m_InputIsTarget

boolean m_InputIsTarget

Class adams.flow.transformer.NamedSetup extends AbstractNamedSetup implements Serializable

serialVersionUID: 9009691154065525958L

Class adams.flow.transformer.PassThrough extends AbstractTransformer implements Serializable

serialVersionUID: 3068057194553062219L

Class adams.flow.transformer.PrependDir extends AbstractTransformer implements Serializable

serialVersionUID: 1960630826702728371L

Serialized Fields

m_Prefix

String m_Prefix

m_NoSeparator

boolean m_NoSeparator

Class adams.flow.transformer.ReportField extends AbstractTransformer implements Serializable

serialVersionUID: -2833759108269704357L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp

m_OutputNameOnly

boolean m_OutputNameOnly

m_Fields

Vector<E> m_Fields

Class adams.flow.transformer.ReportFileReader extends AbstractReportFileReader<Report> implements Serializable

serialVersionUID: -207124154855872209L

Class adams.flow.transformer.ReportFileWriter extends AbstractReportFileWriter<Report> implements Serializable

serialVersionUID: -5209437097716008045L

Class adams.flow.transformer.ReportMathExpression extends AbstractTransformer implements Serializable

serialVersionUID: -8477454145267616359L

Serialized Fields

m_Expression

MathematicalExpressionText m_Expression

m_Field

Field m_Field

m_OutputResult

boolean m_OutputResult

Class adams.flow.transformer.Round extends AbstractTransformer implements Serializable

serialVersionUID: 5849681965859916196L

Serialized Fields

m_Action

Round.Action m_Action

Class adams.flow.transformer.SequenceToArray extends AbstractTransformer implements Serializable

serialVersionUID: 8411367398473311627L

Serialized Fields

m_Elements

Vector<E> m_Elements

m_ArrayLength

int m_ArrayLength

m_ArrayClass

String m_ArrayClass

Class adams.flow.transformer.SequenceToCollection extends AbstractTransformer implements Serializable

serialVersionUID: 1363005679574784724L

Serialized Fields

m_Elements

Vector<E> m_Elements

m_CollectionSize

int m_CollectionSize

m_CollectionClass

String m_CollectionClass

Class adams.flow.transformer.SetArrayElement extends AbstractTransformer implements Serializable

serialVersionUID: -5436016357221787534L

Serialized Fields

m_Index

Index m_Index

m_Origin

SetArrayElement.Origin m_Origin

m_Value

String m_Value

m_StorageName

StorageName m_StorageName

Class adams.flow.transformer.SetID extends AbstractTransformer implements Serializable

serialVersionUID: 7195919809805609634L

Serialized Fields

m_ID

String m_ID

Class adams.flow.transformer.SetPlotContainerValue extends AbstractTransformer implements Serializable

serialVersionUID: 2488434486963278287L

Serialized Fields

m_ContainerValue

PlotContainerUpdater.PlotContainerValue m_ContainerValue

m_Value

String m_Value

Class adams.flow.transformer.SetProperty extends AbstractPropertyUpdater implements Serializable

serialVersionUID: 597361990633872666L

Class adams.flow.transformer.SetReportFromFile extends AbstractTransformer implements Serializable

serialVersionUID: -8951982264797087668L

Serialized Fields

m_ReportFile

PlaceholderFile m_ReportFile

m_Reader

AbstractReportReader<T extends Report> m_Reader

Class adams.flow.transformer.SetReportValue extends AbstractSetReportValue implements Serializable

serialVersionUID: -5937471470417243026L

Class adams.flow.transformer.SetStorageValue extends AbstractTransformer implements Serializable

serialVersionUID: 3086015634110488066L

Serialized Fields

m_Cache

String m_Cache

m_StorageName

StorageName m_StorageName

Class adams.flow.transformer.SetVariable extends AbstractTransformer implements Serializable

serialVersionUID: -3383735680425581504L

Serialized Fields

m_VariableName

VariableName m_VariableName

m_VariableValue

String m_VariableValue

Class adams.flow.transformer.Sort extends AbstractTransformer implements Serializable

serialVersionUID: -1405106607250617855L

Serialized Fields

m_Reverse

boolean m_Reverse

m_Unique

boolean m_Unique

Class adams.flow.transformer.StringCut extends AbstractStringOperation implements Serializable

serialVersionUID: -3687113148170774846L

Serialized Fields

m_UseCharacterPos

boolean m_UseCharacterPos

m_CharacterStartPos

int m_CharacterStartPos

m_CharacterEndPos

int m_CharacterEndPos

m_FieldDelimiter

String m_FieldDelimiter

m_FieldIndex

Index m_FieldIndex

Class adams.flow.transformer.StringInsert extends AbstractStringOperation implements Serializable

serialVersionUID: 9030574317512531337L

Serialized Fields

m_Position

Index m_Position

m_After

boolean m_After

m_Value

String m_Value

m_ValueContainsPlaceholder

boolean m_ValueContainsPlaceholder

m_ValueContainsVariable

boolean m_ValueContainsVariable

Class adams.flow.transformer.StringJoin extends AbstractTransformer implements Serializable

serialVersionUID: -5524254075032084295L

Serialized Fields

m_Glue

String m_Glue

Class adams.flow.transformer.StringMatcher extends AbstractStringOperation implements Serializable

serialVersionUID: 9030574317512531337L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp

m_Invert

boolean m_Invert

Class adams.flow.transformer.StringRangeCut extends AbstractStringOperation implements Serializable

serialVersionUID: 882143928012626919L

Serialized Fields

m_Type

StringRangeCut.Type m_Type

m_Range

Range m_Range

m_Delimiter

String m_Delimiter

m_Glue

String m_Glue

Class adams.flow.transformer.StringReplace extends AbstractStringOperation implements Serializable

serialVersionUID: -1167336515862285272L

Serialized Fields

m_Find

BaseRegExp m_Find

m_Replace

String m_Replace

m_ReplaceType

StringReplace.ReplaceType m_ReplaceType

m_ReplaceContainsPlaceholder

boolean m_ReplaceContainsPlaceholder

m_ReplaceContainsVariable

boolean m_ReplaceContainsVariable

Class adams.flow.transformer.StringSanitizer extends AbstractStringOperation implements Serializable

serialVersionUID: 1359563281659205366L

Serialized Fields

m_AcceptableChars

String m_AcceptableChars

m_ReplacementChar

String m_ReplacementChar

m_InvertMatching

boolean m_InvertMatching

Class adams.flow.transformer.StringSplit extends AbstractTransformer implements Serializable

serialVersionUID: -3687113148170774846L

Serialized Fields

m_Expression

String m_Expression

m_Delimiter

StringSplit.Delimiter m_Delimiter

Class adams.flow.transformer.StringTrim extends AbstractStringOperation implements Serializable

serialVersionUID: 9030574317512531337L

Class adams.flow.transformer.TextFileReader extends AbstractTransformer implements Serializable

serialVersionUID: -184602726110144511L

Serialized Fields

m_OutputType

TextFileReader.OutputType m_OutputType

m_Queue

Vector<E> m_Queue

Class adams.flow.transformer.Timestamp extends AbstractTransformer implements Serializable

serialVersionUID: 1753400674063204204L

Serialized Fields

m_Format

String m_Format

Class adams.flow.transformer.Tool extends AbstractTransformer implements Serializable

serialVersionUID: -295054877801672294L

Serialized Fields

m_Tool

AbstractTool m_Tool

Class adams.flow.transformer.UniqueID extends AbstractTransformer implements Serializable

serialVersionUID: -5763179484838892202L

Serialized Fields

m_IDs

HashSet<E> m_IDs

Class adams.flow.transformer.WekaAccumulatedError extends AbstractTransformer implements Serializable

serialVersionUID: 43672155926689520L

Serialized Fields

m_PlotName

String m_PlotName
the name of the plot.


m_Predictions

Vector<E> m_Predictions
the sorted predictions.


m_NumPredictions

int m_NumPredictions
the number of overall predictions.


m_AccumulatdError

double m_AccumulatdError
the accumulated error so far.

Class adams.flow.transformer.WekaAttributeIterator extends AbstractTransformer implements Serializable

serialVersionUID: 7689330704841468990L

Serialized Fields

m_Range

Range m_Range
the range of attributes to work on.


m_RegExp

BaseRegExp m_RegExp
the regular expression applied to the attribute names.


m_Names

Vector<E> m_Names
the names of the attributes to output.

Class adams.flow.transformer.WekaClassifier extends AbstractTransformer implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_Classifier

weka.classifiers.Classifier m_Classifier
the weka classifier.


m_IncrementalClassifier

weka.classifiers.Classifier m_IncrementalClassifier
the classifier to use when training incrementally.

Class adams.flow.transformer.WekaClassifierOptimizer extends AbstractTransformer implements Serializable

serialVersionUID: -3601873599767767806L

Serialized Fields

m_Optimizer

weka.classifiers.Classifier m_Optimizer
the classifier optimizer.

Class adams.flow.transformer.WekaClassifierRanker extends AbstractTransformer implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_Train

GlobalActorReference m_Train
the global actor to obtain the training dataset from.


m_Test

GlobalActorReference m_Test
the global actor to obtain the test dataset for train/test evaluation from.


m_Max

int m_Max
the maximum number of top-ranked classifiers to forward.


m_Seed

long m_Seed
the random seed to use.


m_Folds

int m_Folds
the number of folds to use in cross-validation.


m_Measure

WekaClassifierRanker.Measure m_Measure
the measure for the evaluation.


m_OutputBestSetup

boolean m_OutputBestSetup
whether to output the best setup in case of GridSearch/MultiSearch.


m_NumThreads

int m_NumThreads
the number of threads to use for parallel execution.


m_Helper

GlobalActorHelper m_Helper
the helper class.


m_JobRunner

JobRunner<T extends Job> m_JobRunner
the job runner for evaluating the setups.

Class adams.flow.transformer.WekaClassifierRanker.RankingJob extends Job implements Serializable

serialVersionUID: 6105881068149718863L

Serialized Fields

m_Classifier

weka.classifiers.Classifier m_Classifier
the classifier to evaluate.


m_Index

int m_Index
the index in actor's input array.


m_Train

weka.core.Instances m_Train
the train data to evaluate with.


m_Test

weka.core.Instances m_Test
the test data to evaluate with (if folds less than 2).


m_Seed

long m_Seed
the seed value to use.


m_Folds

int m_Folds
the number of folds to use.


m_Measure

WekaClassifierRanker.Measure m_Measure
the measure to use for ranking.


m_Performance

Performance m_Performance
the performance.


m_EvaluationError

String m_EvaluationError
for storing evaluating errors.


m_OutputBestSetup

boolean m_OutputBestSetup
whether to output the best classifier.


m_BestClassifier

weka.classifiers.Classifier m_BestClassifier
the best classifier.

Class adams.flow.transformer.WekaClassifying extends AbstractProcessWekaInstanceWithModel<weka.classifiers.Classifier> implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_OutputInstance

boolean m_OutputInstance
whether to output weka.core.Instance objects or PredictionContainers.

Class adams.flow.transformer.WekaClassSelector extends AbstractWekaInstanceAndWekaInstancesTransformer implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_ClassIndex

Index m_ClassIndex
the class index.


m_Override

boolean m_Override
whether to override any set class attribute.


m_RegexName

BaseRegExp m_RegexName
the regular expression on the attribute for selecting the sub-set of attributes.

Class adams.flow.transformer.WekaClusterer extends AbstractTransformer implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_Clusterer

weka.clusterers.Clusterer m_Clusterer
the weka clusterer.


m_IncrementalClusterer

weka.clusterers.Clusterer m_IncrementalClusterer
the clusterer used when training incrementally.


m_PostProcessor

AbstractClustererPostProcessor m_PostProcessor
the post-processor.

Class adams.flow.transformer.WekaClustering extends AbstractProcessWekaInstanceWithModel<weka.clusterers.Clusterer> implements Serializable

serialVersionUID: -4916534952409463440L

Class adams.flow.transformer.WekaCrossValidationEvaluator extends AbstractGlobalWekaClassifierEvaluator implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_Folds

int m_Folds
the number of folds.


m_Seed

long m_Seed
the seed value.

Class adams.flow.transformer.WekaCrossValidationSplit extends AbstractTransformer implements Serializable

serialVersionUID: 4026105903223741240L

Serialized Fields

m_Seed

long m_Seed
the seed value.


m_Folds

int m_Folds
the number of folds to generate.


m_RelationName

String m_RelationName
the format of the relation names of the generated datasets.


m_CurrentFold

int m_CurrentFold
the current fold.


m_ActualFolds

int m_ActualFolds
the actual number of folds to generate.


m_Data

weka.core.Instances m_Data
the data to work with.


m_Random

Random m_Random
the random number generator to use for generating the folds.

Class adams.flow.transformer.WekaEvaluationSummary extends AbstractTransformer implements Serializable

serialVersionUID: 8082115424369061977L

Serialized Fields

m_OutputRelationName

boolean m_OutputRelationName
whether to print the relation name of the dataset a well.


m_ComplexityStatistics

boolean m_ComplexityStatistics
whether to print the complexity statistics as well.


m_ClassDetails

boolean m_ClassDetails
whether to print the class details as well.


m_Comment

BaseText m_Comment
an optional comment to output.

Class adams.flow.transformer.WekaEvaluationValuePicker extends AbstractTransformer implements Serializable

serialVersionUID: -3113058781746945626L

Serialized Fields

m_StatisticValue

EvaluationStatistic m_StatisticValue
the comparison field.


m_ClassIndex

int m_ClassIndex
the index of the class label.

Class adams.flow.transformer.WekaEvaluationValues extends AbstractTransformer implements Serializable

serialVersionUID: -1977976026411517458L

Serialized Fields

m_StatisticValues

EvaluationStatistic[] m_StatisticValues
the comparison fields.


m_ClassIndex

int m_ClassIndex
the index of the class label.

Class adams.flow.transformer.WekaExperiment extends AbstractTransformer implements Serializable

serialVersionUID: -1127504846960163422L

Serialized Fields

m_ExperimentFile

WekaExperimentFile m_ExperimentFile
the experiment file.


m_NoCheck

boolean m_NoCheck
whether not to check for experiment file to exist (e.g., when it generated on the fly).

Class adams.flow.transformer.WekaExperimentEvaluation extends AbstractTransformer implements Serializable

serialVersionUID: -8186675646383734197L

Serialized Fields

m_Tester

weka.experiment.Tester m_Tester
the tester class to use.


m_ComparisonField

ExperimentStatistic m_ComparisonField
the comparison field.


m_Significance

double m_Significance
the significance.


m_TestBase

int m_TestBase
the test base.


m_Row

BaseString[] m_Row
the row (= datasets).


m_Column

BaseString[] m_Column
the column (= classifiers).


m_SwapRowsAndColumns

boolean m_SwapRowsAndColumns
whether to swap rows and columns.


m_OutputFormat

weka.experiment.ResultMatrix m_OutputFormat
the output format.


m_OutputHeader

boolean m_OutputHeader
whether to output the header.

Class adams.flow.transformer.WekaExtractArray extends AbstractTransformer implements Serializable

serialVersionUID: -3989993009528522476L

Serialized Fields

m_Type

WekaExtractArray.ExtractionType m_Type
the type of extraction.


m_Index

Index m_Index
the index of the row/column to extract.

Class adams.flow.transformer.WekaFileReader extends AbstractTransformer implements Serializable

serialVersionUID: 9097157984356638281L

Serialized Fields

m_UseCustomLoader

boolean m_UseCustomLoader
whether to use a custom converter.


m_CustomLoader

weka.core.converters.AbstractFileLoader m_CustomLoader
the custom loader.


m_OutputType

WekaFileReader.OutputType m_OutputType
how to output the data.


m_Structure

weka.core.Instances m_Structure
the structure.


m_Source

weka.core.converters.ConverterUtils.DataSource m_Source
the actual loader for loading the data.

Class adams.flow.transformer.WekaFilter extends AbstractWekaInstanceAndWekaInstancesTransformer implements Serializable

serialVersionUID: 9078845385089445202L

Serialized Fields

m_Filter

weka.filters.Filter m_Filter
the filter to apply.


m_InitializeOnce

boolean m_InitializeOnce
whether to initialize filter only with the first batch.


m_KeepRelationName

boolean m_KeepRelationName
whether to keep the incoming relation name.


m_Initialized

boolean m_Initialized
whether the filter has been initialized.

Class adams.flow.transformer.WekaGetInstanceValue extends AbstractTransformer implements Serializable

serialVersionUID: -3057815118900209749L

Serialized Fields

m_Index

Index m_Index
the index of the attribute to get the value from the Instance.


m_AttributeName

String m_AttributeName
the name of the attribute to get the value from the Instance.

Class adams.flow.transformer.WekaInstanceBuffer extends AbstractTransformer implements Serializable

serialVersionUID: 6774529845778672623L

Serialized Fields

m_Buffer

weka.core.Instances m_Buffer
the currently buffered data.


m_Iterator

Iterator<E> m_Iterator
the iterator for broadcasting Instance objects.


m_Operation

WekaInstanceBuffer.Operation m_Operation
the way the buffer operates.


m_CheckHeader

boolean m_CheckHeader
whether to check the header.


m_Interval

int m_Interval
the interval of when to output the Instances object.

Class adams.flow.transformer.WekaInstanceDumper extends AbstractTransformer implements Serializable

serialVersionUID: 5071747277597147724L

Serialized Fields

m_Header

weka.core.Instances m_Header
the header of the dataset.


m_Counter

int m_Counter
the counter for the filenames.


m_CheckHeader

boolean m_CheckHeader
whether to check the header.


m_OutputPrefix

PlaceholderFile m_OutputPrefix
the output prefix.


m_OutputFormat

WekaInstanceDumper.OutputFormat m_OutputFormat
the output format.


m_UseRelationNameAsFilename

boolean m_UseRelationNameAsFilename
whether to use the relation name as filename.


m_KeepExisting

boolean m_KeepExisting
whether to keep existing output files when actor is called for the first time, in order to allow appending to files from multiple locations in flow.


m_BufferSize

int m_BufferSize
the size of the buffer.


m_Buffer

Vector<E> m_Buffer
the buffer.

Class adams.flow.transformer.WekaInstanceEvaluator extends AbstractTransformer implements Serializable

serialVersionUID: -8810671831368685057L

Serialized Fields

m_Evaluator

AbstractInstanceEvaluator m_Evaluator
the evaluator to use.


m_InstancesActor

GlobalActorReference m_InstancesActor
the global actor to get the Instances from in case of AbstractDatasetInstanceEvaluator.


m_Header

weka.core.Instances m_Header
the new header.


m_AttributeName

String m_AttributeName
the attribute name of the evaluation object.


m_GlobalSource

GlobalSource m_GlobalSource
the global actor to use.


m_Filter

weka.filters.unsupervised.attribute.Add m_Filter
the filter that is used for generating the new data format.

Class adams.flow.transformer.WekaInstanceFileReader extends AbstractDataContainerFileReader<Instance> implements Serializable

serialVersionUID: -8968191728988750040L

Class adams.flow.transformer.WekaInstancesInfo extends AbstractTransformer implements Serializable

serialVersionUID: -3019442578354930841L

Serialized Fields

m_Queue

Vector<E> m_Queue
the tokens to output.


m_Type

WekaInstancesInfo.InfoType m_Type
the type of information to generate.


m_AttributeIndex

Index m_AttributeIndex
the index of the attribute to get the information for.

Class adams.flow.transformer.WekaInstancesMerge extends AbstractTransformer implements Serializable

serialVersionUID: -2923715594018710295L

Serialized Fields

m_UsePrefix

boolean m_UsePrefix
whether to prefix the attribute names of each dataset with an index.


m_AddIndex

boolean m_AddIndex
whether to add the index to the prefix.


m_Prefix

String m_Prefix
the additional prefix name to use, apart from the index.


m_PrefixSeparator

String m_PrefixSeparator
the separator between index and actual attribute name.


m_ExcludedAttributes

String m_ExcludedAttributes
regular expression for excluding attributes from the datasets.


m_InvertMatchingSense

boolean m_InvertMatchingSense
whether to invert the matching sense for excluding attributes.


m_UniqueID

String m_UniqueID
the string or numeric attribute to use as unique identifier for rows.


m_AttType

int m_AttType
the attribute type of the ID attribute.

Class adams.flow.transformer.WekaInstancesStatistic extends AbstractTransformer implements Serializable

serialVersionUID: -8493694755948450901L

Serialized Fields

m_DataType

WekaInstancesStatistic.DataType m_DataType
the type of data to get from the Instances object (rows or columns).


m_Locations

BaseString[] m_Locations
the array of indices/regular expressions.


m_Statistic

AbstractArrayStatistic<T extends Serializable> m_Statistic
the statistic to generate.

Class adams.flow.transformer.WekaInstanceStreamPlotGenerator extends AbstractTransformer implements Serializable

serialVersionUID: 6449128249417195569L

Serialized Fields

m_Attributes

Range m_Attributes
the range of attributes to plot.


m_Containers

Vector<E> m_Containers
the generated containers.


m_Counter

int m_Counter
the counter for the X value of the containers.

Class adams.flow.transformer.WekaModelReader extends AbstractWekaModelReader implements Serializable

serialVersionUID: -1844897560777043045L

Class adams.flow.transformer.WekaMultiLabelSplitter extends AbstractTransformer implements Serializable

serialVersionUID: 4034797930137217038L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp
the regular expression that the class attribute names have to match.


m_Invert

boolean m_Invert
whether to invert the matching sense.


m_UpdateRelationName

boolean m_UpdateRelationName
whether to use the class attribute name as new relation name.


m_MakeClassLast

boolean m_MakeClassLast
whether to move the class attribute to the end.


m_ClassAttributes

Vector<E> m_ClassAttributes
the indices of the class attributes.


m_AttributesToProcess

Vector<E> m_AttributesToProcess
the indices of the class attributes still to process.


m_Dataset

weka.core.Instances m_Dataset
the dataset to process.

Class adams.flow.transformer.WekaNewInstance extends AbstractTransformer implements Serializable

serialVersionUID: -786486914801535807L

Serialized Fields

m_InstanceClass

String m_InstanceClass
the class of instance to create.

Class adams.flow.transformer.WekaPredictionsToInstances extends AbstractWekaPredictionsTransformer implements Serializable

serialVersionUID: -1552754008462778501L

Class adams.flow.transformer.WekaRandomSplit extends AbstractTransformer implements Serializable

serialVersionUID: -6447945986570354931L

Serialized Fields

m_PreserveOrder

boolean m_PreserveOrder
whether to preserve the order.


m_Seed

long m_Seed
the seed value.


m_Percentage

double m_Percentage
the percentage for the split (0-1).

Class adams.flow.transformer.WekaRegexToRange extends AbstractTransformer implements Serializable

serialVersionUID: 2556622944506847666L

Serialized Fields

m_Regex

String m_Regex
regular expression used to determine attribute list.


m_Invert

boolean m_Invert
invert matching?

Class adams.flow.transformer.WekaRelationName extends AbstractTransformer implements Serializable

serialVersionUID: 5428249514975625L

Class adams.flow.transformer.WekaRenameRelation extends AbstractWekaInstanceAndWekaInstancesTransformer implements Serializable

serialVersionUID: 5071747277597147724L

Serialized Fields

m_Find

String m_Find
the string to find.


m_Replace

String m_Replace
the string to replace with.

Class adams.flow.transformer.WekaSetInstanceValue extends AbstractTransformer implements Serializable

serialVersionUID: -4710366291340930250L

Serialized Fields

m_Index

Index m_Index
the attribute index to set in the Instance.


m_Value

String m_Value
the value to set.

Class adams.flow.transformer.WekaStoreInstance extends AbstractTransformer implements Serializable

serialVersionUID: 3077398394768688867L

Serialized Fields

m_Dataset

StorageName m_Dataset
the dataset to append to.

Class adams.flow.transformer.WekaSubsets extends AbstractTransformer implements Serializable

serialVersionUID: 4717726637561070097L

Serialized Fields

m_Index

Index m_Index
the attribute index to split on.


m_Queue

Vector<E> m_Queue
the generated subsets.

Class adams.flow.transformer.WekaTestSetEvaluator extends AbstractWekaClassifierEvaluator implements Serializable

serialVersionUID: -8528709957864675275L

Serialized Fields

m_Testset

GlobalActorReference m_Testset
the name of the global trainset provider.


m_DiscardPredictions

boolean m_DiscardPredictions
whether to discard predictions.

Class adams.flow.transformer.WekaTextDirectoryReader extends AbstractTransformer implements Serializable

serialVersionUID: 9097157984356638281L

Serialized Fields

m_StoreFilename

boolean m_StoreFilename
whether to store the filename as extra attribute.


m_CharSet

String m_CharSet
the character set.

Class adams.flow.transformer.WekaTrainTestSetEvaluator extends AbstractGlobalWekaClassifierEvaluator implements Serializable

serialVersionUID: -1092101024095887007L


Package adams.flow.transformer.wekaclusterer

Class adams.flow.transformer.wekaclusterer.AbstractClustererPostProcessor extends AbstractOptionHandler implements Serializable

serialVersionUID: -6272798304877142955L

Class adams.flow.transformer.wekaclusterer.AbstractClusterMembershipPostProcessor extends AbstractClustererPostProcessor implements Serializable

serialVersionUID: 1028684763791331327L

Class adams.flow.transformer.wekaclusterer.ClusterCenters extends AbstractClusterMembershipPostProcessor implements Serializable

serialVersionUID: 5983792992620091051L

Class adams.flow.transformer.wekaclusterer.PassThrough extends AbstractClustererPostProcessor implements Serializable

serialVersionUID: 2365043034989579599L


Package adams.genetic

Class adams.genetic.MTAbstractGeneticAlgorithm extends AbstractOptionHandler implements Serializable

serialVersionUID: 2823734145266194843L

Serialized Fields

m_NumGenes

int m_NumGenes
number of genes per chromosome. NB: must be initialized by the algorithm!


m_NumChrom

int m_NumChrom
number of chromosomes.


m_NumIterations

int m_NumIterations
number of iterations to perform.


m_Genes

BitSet[] m_Genes
the genes.


m_Fitness

double[] m_Fitness
the fitness of the genes.


m_BestRange

Range m_BestRange
stores the best range of attribtues.


m_FavorZeroes

boolean m_FavorZeroes
whether to favor 0s instead of 1s.


m_Seed

long m_Seed
the seed value.


m_Random

Random m_Random
the random number generator.


m_Running

boolean m_Running
whether the algorithm is still running.


m_MaxTrainTime

int m_MaxTrainTime
the maximum number of seconds to train.


m_TrainStart

long m_TrainStart
the time when training commenced.

Class adams.genetic.MTAbstractGeneticAlgorithm.GeneticAlgorithmJob extends Job implements Serializable

serialVersionUID: -4974865548501195622L

Serialized Fields

m_weights

int[] m_weights
the weights of the chromosomes (0 = turned off, 1 = turned on).


m_genetic

MTAbstractGeneticAlgorithm m_genetic
the algorithm object this job belongs to.


m_fitness

Double m_fitness
the current fitness.


m_chrom_num

int m_chrom_num
the number of chromosomes.

Class adams.genetic.MTPackDataGeneticAlgorithm extends MTAbstractGeneticAlgorithm implements Serializable

serialVersionUID: 4301615908806659455L

Serialized Fields

m_pdd

PackDataDef m_pdd

Package adams.gui

Class adams.gui.InstanceCompare extends AbstractFrameWithOptionHandling implements Serializable

serialVersionUID: -8575580776969822903L

Serialized Fields

m_PanelCompare

InstanceComparePanel m_PanelCompare
the panel for comparing the datasets.


m_FirstFile

PlaceholderFile m_FirstFile
the first file to compare.


m_FirstAttributeRange

Range m_FirstAttributeRange
the first attribute range to use.


m_FirstRowIndex

Index m_FirstRowIndex
the index of the first attribute to use for matching rows.


m_SecondFile

PlaceholderFile m_SecondFile
the second file to compare.


m_SecondAttributeRange

Range m_SecondAttributeRange
the second attribute range to use.


m_SecondRowIndex

Index m_SecondRowIndex
the index of the second attribute to use for matching rows.

Class adams.gui.Main extends AbstractApplicationFrame implements Serializable

serialVersionUID: -5800519559483605870L


Package adams.gui.chooser

Class adams.gui.chooser.AbstractChooserPanel extends BasePanel implements Serializable

serialVersionUID: -824479551072915989L

Serialized Fields

m_Self

AbstractChooserPanel<T> m_Self

m_TextSelection

JTextField m_TextSelection

m_LabelPrefix

JLabel m_LabelPrefix

m_LabelPrefixSpacer

JLabel m_LabelPrefixSpacer

m_ButtonSelection

JButton m_ButtonSelection

m_ChangeListeners

HashSet<E> m_ChangeListeners

m_PopupMenuCustomizer

AbstractChooserPanel.PopupMenuCustomizer m_PopupMenuCustomizer

Class adams.gui.chooser.AbstractDataContainerFileChooser extends AbstractExtensionFileFilterFileChooser<AbstractDataContainerFileChooser.DataContainerFileExtensionFilter> implements Serializable

serialVersionUID: -5373058011025481738L

Serialized Fields

m_ConfigureButton

JButton m_ConfigureButton

m_CheckBoxOptions

JCheckBox m_CheckBoxOptions

m_LabelOptions

JLabel m_LabelOptions

m_Editor

GenericObjectEditor m_Editor

Class adams.gui.chooser.AbstractDataContainerFileChooser.DataContainerFileExtensionFilter extends ExtensionFileFilter implements Serializable

serialVersionUID: 5863117558505811134L

Serialized Fields

m_Classname

String m_Classname

Class adams.gui.chooser.AbstractExtensionFileFilterFileChooser extends BaseFileChooser implements Serializable

serialVersionUID: -1607568357690603421L

Serialized Fields

m_Self

AbstractExtensionFileFilterFileChooser<F extends ExtensionFileFilter> m_Self

m_DialogType

int m_DialogType

m_CurrentHandler

Object m_CurrentHandler

m_Listener

PropertyChangeListener m_Listener

m_LastFilter

ExtensionFileFilter m_LastFilter

m_FileMustExist

boolean m_FileMustExist

Class adams.gui.chooser.AbstractReportFileChooser extends AbstractExtensionFileFilterFileChooser<AbstractReportFileChooser.ReportFileExtensionFilter> implements Serializable

serialVersionUID: -5373058011025481738L

Serialized Fields

m_ConfigureButton

JButton m_ConfigureButton

m_CheckBoxOptions

JCheckBox m_CheckBoxOptions

m_LabelOptions

JLabel m_LabelOptions

m_Editor

GenericObjectEditor m_Editor

Class adams.gui.chooser.AbstractReportFileChooser.ReportFileExtensionFilter extends ExtensionFileFilter implements Serializable

serialVersionUID: -5589412775033677018L

Serialized Fields

m_Classname

String m_Classname

Class adams.gui.chooser.BaseDirectoryChooser extends com.l2fprod.common.swing.JDirectoryChooser implements Serializable

serialVersionUID: -7252242971482953986L

Class adams.gui.chooser.BaseFileChooser extends com.googlecode.vfsjfilechooser2.VFSJFileChooser implements Serializable

serialVersionUID: -5712455182900852653L

Serialized Fields

m_PromptOverwriteFile

boolean m_PromptOverwriteFile

m_AutoAppendExtension

boolean m_AutoAppendExtension

m_AllowGlobFilters

boolean m_AllowGlobFilters

m_DefaultExtension

String m_DefaultExtension

Class adams.gui.chooser.BaseTextChooserPanel extends AbstractChooserPanel<BaseText> implements Serializable

serialVersionUID: -8755020252465094120L

Serialized Fields

m_DialogTitle

String m_DialogTitle

m_DialogSize

Dimension m_DialogSize

Class adams.gui.chooser.ColorChooserPanel extends AbstractChooserPanel<Color> implements Serializable

serialVersionUID: -8755020252465094120L

Class adams.gui.chooser.DatasetFileChooserPanel extends FileChooserPanel implements Serializable

serialVersionUID: -8755020252465094120L

Serialized Fields

m_FileChooser

weka.gui.ConverterFileChooser m_FileChooser
the filechooser for selecting the dataset.


m_Loader

weka.core.converters.AbstractFileLoader m_Loader
the current loader.


m_Saver

weka.core.converters.AbstractFileSaver m_Saver
the current saver.

Class adams.gui.chooser.DatePanel extends BasePanel implements Serializable

serialVersionUID: -2299249311312882915L

Serialized Fields

actionListeners

HashSet<E> actionListeners

i18nStrings

Properties i18nStrings

showYearButtons

boolean showYearButtons

doubleClickAction

boolean doubleClickAction

internalModel

DatePanel.InternalCalendarModel internalModel

internalView

DatePanel.InternalView internalView

internalController

DatePanel.InternalController internalController

Class adams.gui.chooser.DatePanel.InternalTableCellRenderer extends DefaultTableCellRenderer implements Serializable

serialVersionUID: -2341614459632756921L

Class adams.gui.chooser.DatePanel.InternalView extends JPanel implements Serializable

serialVersionUID: -6844493839307157682L

Serialized Fields

centerPanel

JPanel centerPanel

northCenterPanel

JPanel northCenterPanel

northPanel

JPanel northPanel

southPanel

JPanel southPanel

previousButtonPanel

JPanel previousButtonPanel

nextButtonPanel

JPanel nextButtonPanel

dayTable

JTable dayTable

dayTableHeader

JTableHeader dayTableHeader

dayTableCellRenderer

DatePanel.InternalTableCellRenderer dayTableCellRenderer

monthLabel

JLabel monthLabel

todayLabel

JLabel todayLabel

noneLabel

JLabel noneLabel

monthPopupMenu

JPopupMenu monthPopupMenu

monthPopupMenuItems

JMenuItem[] monthPopupMenuItems

nextMonthButton

JButton nextMonthButton

previousMonthButton

JButton previousMonthButton

previousYearButton

JButton previousYearButton

nextYearButton

JButton nextYearButton

yearSpinner

JSpinner yearSpinner

Class adams.gui.chooser.DateTimePanel extends BasePanel implements Serializable

serialVersionUID: 6960393229067593340L

Serialized Fields

m_PanelDate

DatePanel m_PanelDate

m_PanelTime

TimePanel m_PanelTime

Class adams.gui.chooser.DefaultReportFileChooser extends AbstractReportFileChooser<Report> implements Serializable

serialVersionUID: -53374407938356183L

Class adams.gui.chooser.DirectoryChooserPanel extends AbstractChooserPanel<File> implements Serializable

serialVersionUID: 6235369491956122980L

Serialized Fields

m_DirectoryChooser

BaseDirectoryChooser m_DirectoryChooser

Class adams.gui.chooser.FieldChooserPanel extends AbstractChooserPanel<AbstractField> implements Serializable

serialVersionUID: -7800388925398386462L

Serialized Fields

m_Dialog

SelectFieldDialog m_Dialog

Class adams.gui.chooser.FileChooserPanel extends AbstractChooserPanel<File> implements Serializable

serialVersionUID: -8755020252465094120L

Serialized Fields

m_FileChooser

BaseFileChooser m_FileChooser

m_UseSaveDialog

boolean m_UseSaveDialog

Class adams.gui.chooser.FontChooser extends BaseDialog implements Serializable

serialVersionUID: 4228582248866956387L

Serialized Fields

m_FontPanel

FontChooserPanel m_FontPanel

m_ButtonOK

JButton m_ButtonOK

m_ButtonCancel

JButton m_ButtonCancel

m_Current

Font m_Current

Class adams.gui.chooser.FontChooserPanel extends BasePanel implements Serializable

serialVersionUID: 4228582248866956387L

Serialized Fields

m_Current

Font m_Current

m_ListFontName

JList m_ListFontName

m_ModelFontName

DefaultListModel m_ModelFontName

m_ListFontSize

JList m_ListFontSize

m_CheckBoxBold

JCheckBox m_CheckBoxBold

m_CheckBoxItalic

JCheckBox m_CheckBoxItalic

m_TextSample

JTextArea m_TextSample

m_IgnoreUpdates

boolean m_IgnoreUpdates

Class adams.gui.chooser.ImageFileChooser extends AbstractExtensionFileFilterFileChooser<ExtensionFileFilter> implements Serializable

serialVersionUID: -4519042048473978377L

Class adams.gui.chooser.TimePanel extends BasePanel implements Serializable

serialVersionUID: -4509241746496910365L

Serialized Fields

m_SpinnerHour

JSpinner m_SpinnerHour

m_SpinnerMinute

JSpinner m_SpinnerMinute

m_SpinnerSecond

JSpinner m_SpinnerSecond

m_ChangeListeners

HashSet<E> m_ChangeListeners

Package adams.gui.goe

Class adams.gui.goe.AbstractEditorRegistration extends Object implements Serializable

serialVersionUID: 4364270584642868600L

Class adams.gui.goe.AbstractGenericObjectEditorHandler extends Object implements Serializable

serialVersionUID: 5769901293009589319L

Class adams.gui.goe.AdamsEditorsRegistration extends AbstractEditorRegistration implements Serializable

serialVersionUID: -2684948043146113560L

Class adams.gui.goe.AdamsGenericObjectEditorHandler extends AbstractGenericObjectEditorHandler implements Serializable

serialVersionUID: -8738786085338970854L

Class adams.gui.goe.DefaultGenericObjectEditorHandler extends AbstractGenericObjectEditorHandler implements Serializable

serialVersionUID: -8738786085338970854L

Class adams.gui.goe.Favorites.Favorite extends ConsoleObject implements Serializable

serialVersionUID: 9155308607371430795L

Serialized Fields

m_Name

String m_Name

m_Commandline

String m_Commandline

Class adams.gui.goe.Favorites.FavoriteSelectionEvent extends EventObject implements Serializable

serialVersionUID: -3355442271698515292L

Serialized Fields

m_Favorite

Favorites.Favorite m_Favorite

Class adams.gui.goe.GenericArrayEditor extends BasePanel implements Serializable

serialVersionUID: 3914616975334750480L

Serialized Fields

m_Support

PropertyChangeSupport m_Support

m_Label

JLabel m_Label

m_ElementList

BaseListWithButtons m_ElementList

m_ElementClass

Class<T> m_ElementClass

m_ListModel

DefaultListModel m_ListModel

m_ListModelBackup

DefaultListModel m_ListModelBackup

m_ElementEditor

PropertyEditor m_ElementEditor

m_ButtonRemove

JButton m_ButtonRemove

m_ButtonRemoveAll

JButton m_ButtonRemoveAll

m_ButtonEdit

JButton m_ButtonEdit

m_ButtonUp

JButton m_ButtonUp

m_ButtonDown

JButton m_ButtonDown

m_ButtonAdd

JButton m_ButtonAdd

m_ButtonAddMultiple

JButton m_ButtonAddMultiple

m_ButtonCopy

JButton m_ButtonCopy

m_ButtonOK

JButton m_ButtonOK

m_ButtonCancel

JButton m_ButtonCancel

m_ButtonRevert

JButton m_ButtonRevert

m_PanelDialogButtons

JPanel m_PanelDialogButtons

m_Dialog

GenericObjectEditorDialog m_Dialog

m_WindowAdapter

WindowAdapter m_WindowAdapter

m_Modified

boolean m_Modified

m_View

Component m_View

Class adams.gui.goe.GenericArrayEditorDialog extends BaseDialog implements Serializable

serialVersionUID: 6595810269220104762L

Serialized Fields

m_Editor

GenericArrayEditor m_Editor

m_Current

Object m_Current

m_Result

int m_Result

Class adams.gui.goe.GenericArrayEditorPanel extends AbstractChooserPanel implements Serializable

serialVersionUID: -2499362435055386967L

Serialized Fields

m_Dialog

GenericArrayEditorDialog m_Dialog

m_Default

Object m_Default

m_Current

Object m_Current

m_MaxDisplayItems

int m_MaxDisplayItems

Class adams.gui.goe.GenericObjectEditor.GOEPanel extends JPanel implements Serializable

serialVersionUID: 3656028520876011335L

Serialized Fields

m_Self

GenericObjectEditor.GOEPanel m_Self

m_PropertySheetChild

PropertySheetPanel m_PropertySheetChild

m_ComboBoxClassname

JComboBox m_ComboBoxClassname

m_LabelClassname

JLabel m_LabelClassname

m_ButtonOpen

JButton m_ButtonOpen

m_ButtonSave

JButton m_ButtonSave

m_ButtonOK

JButton m_ButtonOK

m_ButtonCancel

JButton m_ButtonCancel

m_ButtonRevert

JButton m_ButtonRevert

m_ButtonChoose

JButton m_ButtonChoose

m_ButtonCopyPaste

JButton m_ButtonCopyPaste

m_TopPanel

JPanel m_TopPanel

m_IgnoreChanges

boolean m_IgnoreChanges

Class adams.gui.goe.GenericObjectEditor.GOETreePopupMenu extends JPopupMenu implements Serializable

serialVersionUID: -3404546329655057387L

Serialized Fields

m_Self

JPopupMenu m_Self

m_Tree

ClassTree m_Tree

m_Scroller

BaseScrollPane m_Scroller

m_TextSearch

JTextField m_TextSearch

m_CloseButton

JButton m_CloseButton

m_CheckBoxFilter

JCheckBox m_CheckBoxFilter

m_CheckBoxStrict

JCheckBox m_CheckBoxStrict

Class adams.gui.goe.GenericObjectEditorDialog extends BaseDialog implements Serializable

serialVersionUID: 450801082654308978L

Serialized Fields

m_Editor

PropertyEditor m_Editor

m_Current

Object m_Current

m_Result

int m_Result

Class adams.gui.goe.GenericObjectEditorHelpDialog extends HelpDialog implements Serializable

serialVersionUID: 2394384614696298610L

Serialized Fields

m_PropertySheet

PropertySheetPanel m_PropertySheet

Class adams.gui.goe.GenericObjectEditorPanel extends AbstractChooserPanel implements Serializable

serialVersionUID: -8351558686664299781L

Serialized Fields

m_Editor

GenericObjectEditor m_Editor

m_Dialog

GenericObjectEditorDialog m_Dialog

m_History

ObjectHistory m_History

Class adams.gui.goe.GenericObjectEditorPopupMenu extends JPopupMenu implements Serializable

serialVersionUID: -5216584001020734521L

Serialized Fields

m_ChangeListeners

HashSet<E> m_ChangeListeners

Class adams.gui.goe.InlineEditor extends BasePanel implements Serializable

serialVersionUID: 2445831775173113711L

Serialized Fields

m_TextField

JTextField m_TextField

m_ButtonEditor

JButton m_ButtonEditor

m_PropertySheetPanel

PropertySheetPanel m_PropertySheetPanel

m_Editor

PropertyEditor m_Editor

m_DefaultBackground

Color m_DefaultBackground

m_PropertyChangeListeners

HashSet<E> m_PropertyChangeListeners

m_UpdateTextAfterDisplay

boolean m_UpdateTextAfterDisplay

Class adams.gui.goe.MultiLineValueDialog extends ApprovalDialog implements Serializable

serialVersionUID: -3749635663753848815L

Serialized Fields

m_PanelAll

JPanel m_PanelAll

m_PanelInfo

JPanel m_PanelInfo

m_PanelBottom

JPanel m_PanelBottom

m_LabelInfo

JLabel m_LabelInfo

m_Editor

TextEditorPanel m_Editor

Class adams.gui.goe.ObjectHistory extends AbstractHistory<Object> implements Serializable

serialVersionUID: -1255734638729633595L

Class adams.gui.goe.PropertyPanel extends BasePanel implements Serializable

serialVersionUID: 5370025273466728904L

Serialized Fields

m_Editor

PropertyEditor m_Editor

m_Dialog

GenericObjectEditorDialog m_Dialog

m_HasCustomPanel

boolean m_HasCustomPanel

m_ButtonProperties

JButton m_ButtonProperties

m_Self

PropertyPanel m_Self

m_PanelText

BasePanel m_PanelText

m_PanelCustom

JPanel m_PanelCustom

Class adams.gui.goe.PropertySheetPanel extends BasePanel implements Serializable

serialVersionUID: -557854258929870536L

Serialized Fields

m_Target

Object m_Target

m_Options

Vector<E> m_Options

m_Properties

PropertyDescriptor[] m_Properties

m_Methods

MethodDescriptor[] m_Methods

m_Editors

PropertyEditor[] m_Editors

m_Values

Object[] m_Values

m_ParameterPanel

ParameterPanel m_ParameterPanel

m_Views

JComponent[] m_Views

m_TipTexts

String[] m_TipTexts

m_HelpText

StringBuilder m_HelpText

m_HelpTextHtml

StringBuilder m_HelpTextHtml

m_GlobalInfo

String m_GlobalInfo

m_DialogHelp

GenericObjectEditorHelpDialog m_DialogHelp

m_ButtonHelp

JButton m_ButtonHelp

m_PanelAbout

BaseTextAreaWithButtons m_PanelAbout

m_Support

PropertyChangeSupport m_Support

Class adams.gui.goe.PropertyText extends JTextField implements Serializable

serialVersionUID: -3915342928825822730L

Serialized Fields

m_Editor

PropertyEditor m_Editor

Class adams.gui.goe.PropertyValueSelector extends JComboBox implements Serializable

serialVersionUID: 128041237745933212L

Serialized Fields

m_Editor

PropertyEditor m_Editor

Class adams.gui.goe.WekaEditorsRegistration extends AbstractEditorRegistration implements Serializable

serialVersionUID: -2908979337117222215L

Class adams.gui.goe.WekaExperimentFileEditor.SimpleSetupDialog extends JDialog implements Serializable

serialVersionUID: 7551996596456389490L

Serialized Fields

m_Panel

weka.gui.experiment.SimpleSetupPanel m_Panel
the setup panel.


m_Experiment

weka.experiment.Experiment m_Experiment
the current experiment.


m_ButtonOK

JButton m_ButtonOK
the OK button.


m_ButtonCancel

JButton m_ButtonCancel
the Cancel button.

Class adams.gui.goe.WekaGenericObjectEditorHandler extends AbstractGenericObjectEditorHandler implements Serializable

serialVersionUID: 7963512759650622657L


Package adams.gui.menu

Class adams.gui.menu.About extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Class adams.gui.menu.AbstractJDKMenuItemDefinition extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 5622223654165288462L

Class adams.gui.menu.AbstractParameterHandlingMenuItemDefinition extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 1668108539323372465L

Serialized Fields

m_Parameters

String[] m_Parameters

Class adams.gui.menu.AbstractParameterHandlingWekaMenuItemDefinition extends AbstractWekaMenuItemDefinition implements Serializable

serialVersionUID: 1668108539323372465L

Serialized Fields

m_Parameters

String[] m_Parameters
the additional parameters.

Class adams.gui.menu.AbstractSequenceViewer extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -1041273949195204507L

Class adams.gui.menu.AbstractURLMenuItemDefinition extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 4757574306275240997L

Class adams.gui.menu.AbstractWekaMenuItemDefinition extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 1668108539323372465L

Class adams.gui.menu.ArffViewer extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: 1279360379007337239L

Class adams.gui.menu.BayesNetEditor extends AbstractWekaMenuItemDefinition implements Serializable

serialVersionUID: -1041273949195204507L

Class adams.gui.menu.BoundaryVisualizer extends AbstractWekaMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Serialized Fields

m_FileChooser

JFileChooser m_FileChooser
filechooser for BoundaryVisualizers.

Class adams.gui.menu.ConnectToDatabases extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -1363910914896201632L

Class adams.gui.menu.ConsoleWindow extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -5771925420824138797L

Class adams.gui.menu.ContainerNesting extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 6149133251059325645L

Class adams.gui.menu.Diff extends AbstractParameterHandlingMenuItemDefinition implements Serializable

serialVersionUID: 4141518148195553256L

Class adams.gui.menu.Experimenter extends AbstractWekaMenuItemDefinition implements Serializable

serialVersionUID: 3333253363775943976L

Class adams.gui.menu.Explorer extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: 3941702242700593202L

Class adams.gui.menu.FavoritesManagement extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 6922396347446530139L

Class adams.gui.menu.FlowControlCenter extends AbstractParameterHandlingMenuItemDefinition implements Serializable

serialVersionUID: -7896350435136393906L

Class adams.gui.menu.FlowEditor extends AbstractParameterHandlingMenuItemDefinition implements Serializable

serialVersionUID: 7907139922742800770L

Class adams.gui.menu.FlowRunner extends AbstractParameterHandlingMenuItemDefinition implements Serializable

serialVersionUID: -993239671663669946L

Class adams.gui.menu.GarbageCollector extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -2688798836965476377L

Class adams.gui.menu.GraphVisualizer extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Serialized Fields

m_FileChooser

BaseFileChooser m_FileChooser
filechooser for GraphVisualizers.

Class adams.gui.menu.Homepage extends AbstractURLMenuItemDefinition implements Serializable

serialVersionUID: -6548349613973153076L

Class adams.gui.menu.ImageViewer extends AbstractParameterHandlingMenuItemDefinition implements Serializable

serialVersionUID: 7586443345167287461L

Class adams.gui.menu.InstanceCompare extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: 7586443345167287461L

Class adams.gui.menu.InstanceExplorer extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: -1360818360099840848L

Class adams.gui.menu.InstancesPlot extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Serialized Fields

m_FileChooser

weka.gui.ConverterFileChooser m_FileChooser
filechooser for Plots.

Class adams.gui.menu.JConsole extends AbstractJDKMenuItemDefinition implements Serializable

serialVersionUID: 7557643894279210336L

Class adams.gui.menu.JMap extends AbstractJDKMenuItemDefinition implements Serializable

serialVersionUID: -1502903491659697700L

Class adams.gui.menu.JobCompleteViewer extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 4542388996174240562L

Class adams.gui.menu.JVisualVM extends AbstractJDKMenuItemDefinition implements Serializable

serialVersionUID: 5160350971358567707L

Class adams.gui.menu.LogEntryDatabaseViewer extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -5168636137737391649L

Class adams.gui.menu.MemoryMonitor extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Class adams.gui.menu.NamedSetupManagement extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 7296096432573720259L

Class adams.gui.menu.OptionsConversion extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -3102369171000332548L

Class adams.gui.menu.OptionTree extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 6149133251059325645L

Class adams.gui.menu.PackageManager extends AbstractWekaMenuItemDefinition implements Serializable

serialVersionUID: 3941702242700593202L

Class adams.gui.menu.PlaceholderManagement extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 8649421185696649308L

Class adams.gui.menu.PlotPanelTest extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 1947370537357191065L

Class adams.gui.menu.PreviewBrowser extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 8649421185696649308L

Class adams.gui.menu.ProgramExit extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 2322866186840295800L

Class adams.gui.menu.ProgramRestart extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 7895198900202058018L

Class adams.gui.menu.ProgramRestartWithMoreHeap extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 7895198900202058018L

Class adams.gui.menu.PropertiesViewer extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -8413317945344400456L

Class adams.gui.menu.ROC extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Serialized Fields

m_FileChooser

weka.gui.ConverterFileChooser m_FileChooser
filechooser for ROCs.

Class adams.gui.menu.RunTool extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 4141518148195553256L

Class adams.gui.menu.ScriptingLog extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: -2260458201891948961L

Class adams.gui.menu.SqlViewer extends AbstractWekaMenuItemDefinition implements Serializable

serialVersionUID: -1041273949195204507L

Class adams.gui.menu.SystemInfo extends AbstractMenuItemDefinition implements Serializable

serialVersionUID: 8793960724995111227L

Class adams.gui.menu.TextEditor extends AbstractParameterHandlingMenuItemDefinition implements Serializable

serialVersionUID: -7769165939866172623L

Class adams.gui.menu.TreeVisualizer extends AbstractParameterHandlingWekaMenuItemDefinition implements Serializable

serialVersionUID: -771667287275117680L

Serialized Fields

m_FileChooser

JFileChooser m_FileChooser
filechooser for TreeVisualizers.


Package adams.gui.tools.previewbrowser

Class adams.gui.tools.previewbrowser.AbstractArchiveHandler extends AbstractOptionHandler implements Serializable

serialVersionUID: 3774402480647722078L

Serialized Fields

m_Archive

PlaceholderFile m_Archive

Class adams.gui.tools.previewbrowser.AbstractContentHandler extends AbstractOptionHandler implements Serializable

serialVersionUID: 2722977281064051787L

Class adams.gui.tools.previewbrowser.AbstractReportHandler extends AbstractContentHandler implements Serializable

serialVersionUID: -3800895640927273805L

Class adams.gui.tools.previewbrowser.AbstractSerializedObjectViewer extends AbstractOptionHandler implements Serializable

serialVersionUID: 2722977281064051787L

Class adams.gui.tools.previewbrowser.AbstractSpreadSheetHandler extends AbstractContentHandler implements Serializable

serialVersionUID: 460332838835780629L

Class adams.gui.tools.previewbrowser.CreatingPreviewPanel extends MessagePanel implements Serializable

serialVersionUID: -5340044488976755902L

Class adams.gui.tools.previewbrowser.DefaultSerializedObjectViewer extends AbstractSerializedObjectViewer implements Serializable

serialVersionUID: 491669321468347478L

Class adams.gui.tools.previewbrowser.FlowHandler extends AbstractContentHandler implements Serializable

serialVersionUID: 4859255638148506547L

Class adams.gui.tools.previewbrowser.GraphVisualizer extends AbstractSerializedObjectViewer implements Serializable

serialVersionUID: -262735238228366027L

Class adams.gui.tools.previewbrowser.ImageHandler extends AbstractContentHandler implements Serializable

serialVersionUID: -3962259305718630395L

Class adams.gui.tools.previewbrowser.InstanceExplorerHandler extends AbstractContentHandler implements Serializable

serialVersionUID: -1029811668794627962L

Class adams.gui.tools.previewbrowser.InterQuartileRangeViewer extends AbstractSerializedObjectViewer implements Serializable

serialVersionUID: 1805163535974387818L

Class adams.gui.tools.previewbrowser.MessagePanel extends BasePanel implements Serializable

serialVersionUID: -842675700403438848L

Serialized Fields

m_LabelMessage

JLabel m_LabelMessage

Class adams.gui.tools.previewbrowser.NoDataToPreviewPanel extends MessagePanel implements Serializable

serialVersionUID: 2312946141347890073L

Class adams.gui.tools.previewbrowser.NoPreviewAvailablePanel extends MessagePanel implements Serializable

serialVersionUID: 5863705257041774410L

Class adams.gui.tools.previewbrowser.PlainTextHandler extends AbstractContentHandler implements Serializable

serialVersionUID: 4859255638148506547L

Class adams.gui.tools.previewbrowser.PreviewPanel extends BasePanel implements Serializable

serialVersionUID: 3358752718380986817L

Serialized Fields

m_Content

JComponent m_Content

Class adams.gui.tools.previewbrowser.PropertiesHandler extends AbstractContentHandler implements Serializable

serialVersionUID: 8930638838922218410L

Class adams.gui.tools.previewbrowser.ScriptHandler extends AbstractContentHandler implements Serializable

serialVersionUID: 4859255638148506547L

Class adams.gui.tools.previewbrowser.SerializedFileHandler extends AbstractContentHandler implements Serializable

serialVersionUID: -1277627290853745369L

Class adams.gui.tools.previewbrowser.SerializedObjectPanel extends BasePanel implements Serializable

serialVersionUID: -4489513186403584128L

Serialized Fields

m_PanelView

JPanel m_PanelView

m_PanelCombobox

JPanel m_PanelCombobox

m_ComboBoxViewers

JComboBox m_ComboBoxViewers

m_Current

Object m_Current

Class adams.gui.tools.previewbrowser.TreeVisualizer extends AbstractSerializedObjectViewer implements Serializable

serialVersionUID: -262735238228366027L

Class adams.gui.tools.previewbrowser.WekaDatasetHandler extends AbstractContentHandler implements Serializable

serialVersionUID: -8339099303070121780L


Package adams.gui.visualization.instance

Class adams.gui.visualization.instance.HistogramFactory.Dialog extends HistogramFactory.Dialog implements Serializable

serialVersionUID: 2464157048335973279L

Class adams.gui.visualization.instance.HistogramFactory.Panel extends HistogramFactory.Panel implements Serializable

serialVersionUID: -1990327944906647098L

Class adams.gui.visualization.instance.HistogramFactory.SetupDialog extends HistogramFactory.SetupDialog implements Serializable

serialVersionUID: 4215632076348292959L

Class adams.gui.visualization.instance.InstanceComparePanel extends BasePanel implements Serializable

serialVersionUID: -8521425008936364143L

Serialized Fields

m_PanelDataset1

InstanceComparePanel.DatasetPanel m_PanelDataset1
the panel for the first dataset.


m_PanelDataset2

InstanceComparePanel.DatasetPanel m_PanelDataset2
the panel for the second dataset.


m_PanelComparison

InstancePanel m_PanelComparison
the panel for displaying the two instances.


m_PanelDifference

InstancePanel m_PanelDifference
the panel with the difference.


m_LabelRows

JLabel m_LabelRows
the label for the combobox.


m_ListRows

BaseList m_ListRows
the JLiast with the rows.


m_ListRowsModel

DefaultListModel m_ListRowsModel
the model for the combobox with the rows.


m_ReportTable

ReportFactory.Table m_ReportTable
the table with the report.


m_StatusBar

BaseStatusBar m_StatusBar
for displaying error messages.


m_RowIndex

List<E> m_RowIndex
the internal index.


m_MenuBar

JMenuBar m_MenuBar
the menu bar.


m_MenuItemReload

JMenuItem m_MenuItemReload
the reload menu item.


m_MenuItemLoadRecent1

JMenuItem m_MenuItemLoadRecent1
the recent file menu item (first file).


m_MenuItemLoadRecent2

JMenuItem m_MenuItemLoadRecent2
the recent file menu item (second file).


m_RecentFilesHandler1

RecentFilesHandler m_RecentFilesHandler1
the recent files handler.


m_RecentFilesHandler2

RecentFilesHandler m_RecentFilesHandler2
the recent files handler.

Class adams.gui.visualization.instance.InstanceComparePanel.DatasetIndexer extends Object implements Serializable

serialVersionUID: -632800897294222906L

Serialized Fields

m_Dataset

weka.core.Instances m_Dataset
the underlying dataset.


m_AttributeIndex

Index m_AttributeIndex
the attribute to index.


m_Range

Range m_Range
the range of attributes to use.


m_Index

TreeMap<K,V> m_Index
the index.


m_IsString

Boolean m_IsString
whether the attribute is numeric or string/nominal.


m_Remove

weka.filters.unsupervised.attribute.Remove m_Remove
the remove filter for trimming the range of attributes to return.

Class adams.gui.visualization.instance.InstanceComparePanel.DatasetPanel extends BasePanel implements Serializable

serialVersionUID: -5445797307951816941L

Serialized Fields

m_Indexer

InstanceComparePanel.DatasetIndexer m_Indexer
the currently loaded dataset.


m_BorderTitle

String m_BorderTitle
the border title.


m_ID

String m_ID
the ID to use for the returned instances.


m_PanelDataset

DatasetFileChooserPanel m_PanelDataset
the panel for loading the file.


m_ButtonDisplay

JButton m_ButtonDisplay
the button for displaying the dataset.


m_TextAttributeRange

JTextField m_TextAttributeRange
the edit field for the range.


m_LabelAttributeRange

JLabel m_LabelAttributeRange
the label for the range.


m_ComboBoxRowAttribute

JComboBox m_ComboBoxRowAttribute
the combobox with the attribute names.


m_ComboBoxRowAttributeModel

DefaultComboBoxModel m_ComboBoxRowAttributeModel
the underlying model for the comboxbox.


m_LabelRowAttribute

JLabel m_LabelRowAttribute
the label for the attribute names.


m_ChangeListeners

HashSet<E> m_ChangeListeners
the change listeners.

Class adams.gui.visualization.instance.InstanceContainer extends Container implements Serializable

serialVersionUID: 7952799099277106479L

Serialized Fields

m_Color

Color m_Color
the associated color.


m_Visible

boolean m_Visible
whether the instance is visible.

Class adams.gui.visualization.instance.InstanceContainerDisplayIDGenerator extends AbstractContainerDisplayStringGenerator<InstanceContainer> implements Serializable

serialVersionUID: 5365866966393976397L

Class adams.gui.visualization.instance.InstanceContainerList extends ContainerList<InstanceContainerManager,InstanceContainer> implements Serializable

serialVersionUID: 3265940348362833587L

Class adams.gui.visualization.instance.InstanceContainerManager extends ContainerManager<InstanceContainer> implements Serializable

serialVersionUID: -4325235760470150191L

Serialized Fields

m_Owner

ContainerListManager<M extends ContainerManager> m_Owner
the owning panel.


m_ColorProvider

AbstractColorProvider m_ColorProvider
the color provider for managing the colors.

Class adams.gui.visualization.instance.InstanceContainerModel extends ContainerModel<InstanceContainerManager,InstanceContainer> implements Serializable

serialVersionUID: -6259301933663814155L

Class adams.gui.visualization.instance.InstanceContainerTableColumnNameGenerator extends DefaultContainerTableColumnNameGenerator implements Serializable

serialVersionUID: -6782027333845657467L

Class adams.gui.visualization.instance.InstanceExplorer extends BasePanel implements Serializable

serialVersionUID: 4478483903068117980L

Serialized Fields

m_PanelInstance

InstancePanel m_PanelInstance
the panel for displaying.


m_StatusBar

BaseStatusBar m_StatusBar
the status bar.


m_MenuBar

JMenuBar m_MenuBar
the menu bar, if used.


m_MenuItemLoadRecent

JMenu m_MenuItemLoadRecent
the "load recent" submenu.


m_MenuView

JMenu m_MenuView
the menu item for view related stuff.


m_MenuItemViewZoomOverview

JMenuItem m_MenuItemViewZoomOverview
the toggle zoom overview menu item.


m_MenuItemClearData

JMenuItem m_MenuItemClearData
the clear data menu item.


m_TabbedPane

BaseTabbedPane m_TabbedPane
the tabbed pane for the data to display.


m_Reports

ReportFactory.Panel<C extends ReportContainer,M extends ReportContainerManager> m_Reports
the reports.


m_SearchPanel

SearchPanel m_SearchPanel
for searching the fields in the reports.


m_LoadFromDiskDialog

LoadDatasetDialog m_LoadFromDiskDialog
the dialog for loading datasets.


m_LoadFromDatabaseDialog

weka.gui.sql.SqlViewerDialog m_LoadFromDatabaseDialog
the SQL viewer dialog.


m_RecentFilesHandler

RecentFilesHandler m_RecentFilesHandler
the recent files handler.


m_HistogramSetup

HistogramFactory.SetupDialog m_HistogramSetup
the dialog for the histogram setup.

Class adams.gui.visualization.instance.InstanceLinePaintlet extends AbstractDataContainerPaintlet implements Serializable

serialVersionUID: -2971846774962333662L

Serialized Fields

m_MarkerExtent

int m_MarkerExtent
the maximum width/height of the shape to plot around the points (= data point marker), if there's enough space.


m_MarkersEnabled

boolean m_MarkersEnabled
indicates whether marker shapes are painted or not.


m_AntiAliasingEnabled

boolean m_AntiAliasingEnabled
whether anti-aliasing is enabled.

Class adams.gui.visualization.instance.InstancePanel extends DataContainerPanelWithSidePanel<Instance,InstanceContainerManager> implements Serializable

serialVersionUID: 7985845939008731534L

Serialized Fields

m_InstanceContainerList

InstanceContainerList m_InstanceContainerList
the instance ID list.


m_InstancePaintlet

InstanceLinePaintlet m_InstancePaintlet
paintlet for drawing the graph.


m_CoordinatesPaintlet

CoordinatesPaintlet m_CoordinatesPaintlet
paintlet for drawing the X-axis.


m_Undo

Undo m_Undo
the undo manager.


m_AdjustToVisibleData

boolean m_AdjustToVisibleData
whether to adjust to visible data or not.


m_InstancePointHitDetector

InstancePointHitDetector m_InstancePointHitDetector
the hit detector for the tooltip.


m_ToolTipMaxColumns

int m_ToolTipMaxColumns
the maximum number of columns for the tooltip.


m_PanelZoomOverview

InstanceZoomOverviewPanel m_PanelZoomOverview
the zoom overview panel.

Class adams.gui.visualization.instance.InstancePointHitDetector extends AbstractDistanceBasedHitDetector implements Serializable

serialVersionUID: 3397379783536355060L

Serialized Fields

m_Owner

InstancePanel m_Owner
the owner of this detector.

Class adams.gui.visualization.instance.InstanceReportFactory.Panel extends ReportFactory.Panel implements Serializable

serialVersionUID: -5478424425161287287L

Class adams.gui.visualization.instance.InstanceReportFactory.Table extends ReportFactory.Table implements Serializable

serialVersionUID: 8704864390368310512L

Class adams.gui.visualization.instance.InstanceTable extends SortableAndSearchableTable implements Serializable

serialVersionUID: -4771959490685793427L

Class adams.gui.visualization.instance.InstanceTableModel extends AbstractBaseTableModel implements Serializable

serialVersionUID: -1824525024174249640L

Serialized Fields

m_Data

weka.core.Instances m_Data
the underlying data.

Class adams.gui.visualization.instance.InstanceZoomOverviewPaintlet extends AbstractDataContainerZoomOverviewPaintlet<InstancePanel> implements Serializable

serialVersionUID: -8561195451397229941L

Class adams.gui.visualization.instance.InstanceZoomOverviewPanel extends AbstractDataContainerZoomOverviewPanel<InstancePanel,InstanceLinePaintlet,InstanceZoomOverviewPaintlet,Instance,InstanceContainerManager> implements Serializable

serialVersionUID: -5141649373267221710L

Class adams.gui.visualization.instance.LoadDatasetDialog extends BaseDialog implements Serializable

serialVersionUID: 3881690262061461134L

Serialized Fields

m_Self

LoadDatasetDialog m_Self
the dialog itself.


m_FilePanel

DatasetFileChooserPanel m_FilePanel
for selecting the dataset file.


m_ButtonReload

JButton m_ButtonReload
the button for reloading an existing file.


m_TableData

InstanceTable m_TableData
the table for displaying the instances.


m_ButtonLoad

JButton m_ButtonLoad
the Load button.


m_ButtonClose

JButton m_ButtonClose
the Close button.


m_SearchPanel

SearchPanel m_SearchPanel
the search panel.


m_ComboBoxClass

JComboBox m_ComboBoxClass
the class index.


m_ComboBoxClassModel

DefaultComboBoxModel m_ComboBoxClassModel
the class index model.


m_ComboBoxSorting

JComboBox m_ComboBoxSorting
the sorting index.


m_ComboBoxSortingModel

DefaultComboBoxModel m_ComboBoxSortingModel
the soriting index model.


m_ListAdditionalAttributes

JList m_ListAdditionalAttributes
the list of additional attribute values to store in the report.


m_ListAdditionalAttributesModel

DefaultListModel m_ListAdditionalAttributesModel
the model for the additional attributes.


m_TextAttributeRange

JTextField m_TextAttributeRange
the text field for the attribute range.


m_DefaultAttributeRange

Range m_DefaultAttributeRange
the default range.


m_CheckBoxIncludeNumericAttributes

JCheckBox m_CheckBoxIncludeNumericAttributes
whether to include numeric attributes.


m_CheckBoxIncludeDateAttributes

JCheckBox m_CheckBoxIncludeDateAttributes
whether to include date attributes.


m_CheckBoxIncludeNominalAttributes

JCheckBox m_CheckBoxIncludeNominalAttributes
whether to include numeric nominal.


m_CheckBoxIncludeStringAttributes

JCheckBox m_CheckBoxIncludeStringAttributes
whether to include string attributes.


m_CheckBoxIncludeRelationalAttributes

JCheckBox m_CheckBoxIncludeRelationalAttributes
whether to include relational attributes.


m_Instances

weka.core.Instances m_Instances
the full dataset.


m_Indices

int[] m_Indices
the selected indices.


m_TabbedPane

BaseTabbedPane m_TabbedPane
the tabbed pane.


m_DefaultClassIndex

Index m_DefaultClassIndex
the default class index.


m_DefaultSortIndex

Index m_DefaultSortIndex
the default sort index.


m_DefaultIncludeNumericAttributes

boolean m_DefaultIncludeNumericAttributes
the default for numeric attributes.


m_DefaultIncludeDateAttributes

boolean m_DefaultIncludeDateAttributes
the default for date attributes.


m_DefaultIncludeNominalAttributes

boolean m_DefaultIncludeNominalAttributes
the default for nominal attributes.


m_DefaultIncludeStringAttributes

boolean m_DefaultIncludeStringAttributes
the default for string attributes.


m_DefaultIncludeRelationalAttributes

boolean m_DefaultIncludeRelationalAttributes
the default for relational attributes.


Package adams.gui.visualization.weka

Class adams.gui.visualization.weka.AbstractInstanceInfoFrame extends weka.gui.visualize.InstanceInfoFrame implements Serializable

serialVersionUID: 1811456515654254510L

Serialized Fields

m_TabbedPane

BaseTabbedPane m_TabbedPane
the tabbed pane for displaying the data.


m_PanelTextAll

BasePanel m_PanelTextAll
the panel for the text tab.


m_LabelTextNumPoints

JLabel m_LabelTextNumPoints
the number of data points.


m_ComboBoxTextInstances

JComboBox m_ComboBoxTextInstances
the combobox with all the instances.


m_ComboBoxTextActions

JComboBox m_ComboBoxTextActions
the combobox with all the actions.


m_ButtonTextGo

JButton m_ButtonTextGo
the button for displaying the instances.


m_PanelTextAction

JPanel m_PanelTextAction
the panel with buttons etc.


m_TableData

SortableAndSearchableTable m_TableData
the table with the dataset.


m_PanelData

BasePanel m_PanelData
the panel holding the table and buttons for the dataset.


m_ComboBoxData

JComboBox m_ComboBoxData
the combobox with all the datasets.


m_PanelComboBoxData

BasePanel m_PanelComboBoxData
the panel for the combobox listing the datasets.


m_ComboBoxDataActions

JComboBox m_ComboBoxDataActions
the combobox with all the actions.


m_ButtonDataGo

JButton m_ButtonDataGo
the button for displaying the instances.


m_PanelDataAction

JPanel m_PanelDataAction
the panel with buttons etc.


Package adams.ml

Class adams.ml.Dataset extends Object implements Serializable

serialVersionUID: 4458447431240251541L

Serialized Fields

m_Mapping

Hashtable<K,V> m_Mapping

m_name

String m_name

m_rows

Vector<E> m_rows

Class adams.ml.WekaData extends Dataset implements Serializable

Serialized Fields

m_attributes

Vector<E> m_attributes
List of attributes to use in modeling.


m_class

String m_class
Target attribute.


m_findArrays

Boolean m_findArrays
regex for arrays


m_af

WekaData.ArrayFinder m_af

m_Nominalise

Hashtable<K,V> m_Nominalise

m_header

weka.core.Instances m_header

Package adams.optimise

Class adams.optimise.AbstractFitnessFunction extends AbstractOptionHandler implements Serializable

serialVersionUID: -275374067735516573L

Class adams.optimise.AbstractOptimiser extends AbstractOptionHandler implements Serializable

serialVersionUID: -8047951676584896826L

Serialized Fields

m_bestf

Double m_bestf

m_bestv

OptData m_bestv

Class adams.optimise.GeneticAlgorithm extends PackDataGeneticAlgorithm implements Serializable

serialVersionUID: 3050987598416662061L

Serialized Fields

m_bits

int m_bits

m_zerocount

int m_zerocount

m_pdd

PackDataDef m_pdd

m_fitnessfn

FitnessFunction m_fitnessfn

m_LastNotificationTime

Long m_LastNotificationTime
the timestamp the last notification got sent.


m_StoredResults

Hashtable<K,V> m_StoredResults
the cache for results.

Class adams.optimise.GeneticAlgorithm.GAJob extends Job implements Serializable

Serialized Fields

m_ga

GeneticAlgorithm m_ga
ga.


m_ff

FitnessFunction m_ff
fitness function.


m_weights

int[] m_weights
weights.


m_fitness

double m_fitness

Class adams.optimise.GridSearch extends AbstractOptimiser implements Serializable

serialVersionUID: 8007183147566682576L

Serialized Fields

m_Iterations

int m_Iterations

Class adams.optimise.OptData extends Object implements Serializable

serialVersionUID: -8240249957587951006L

Serialized Fields

m_data

Hashtable<K,V> m_data

m_vars

Hashtable<K,V> m_vars

Class adams.optimise.OptVar extends Object implements Serializable

serialVersionUID: 8200214909919052160L

Serialized Fields

m_name

String m_name

m_max

double m_max

m_min

double m_min

m_isInteger

boolean m_isInteger

Class adams.optimise.RandomOptimiser extends AbstractOptimiser implements Serializable

serialVersionUID: -6032771539666237896L

Serialized Fields

m_Iterations

int m_Iterations

m_Seed

long m_Seed

Class adams.optimise.RefineRange extends AbstractOptimiser implements Serializable

serialVersionUID: -7185430374252569572L

Serialized Fields

m_Refinements

int m_Refinements

m_optimiser

AbstractOptimiser m_optimiser

Class adams.optimise.SplitSearch extends AbstractOptimiser implements Serializable

serialVersionUID: 8007183147566682576L

Serialized Fields

m_NumSplits

int m_NumSplits

Package adams.optimise.genetic

Class adams.optimise.genetic.AbstractGeneticAlgorithm extends AbstractOptimiser implements Serializable

serialVersionUID: 2823734145266194843L

Serialized Fields

m_NumGenes

int m_NumGenes
number of genes per chromosome. NB: must be initialized by the algorithm!


m_NumChrom

int m_NumChrom
number of chromosomes.


m_Genes

BitSet[] m_Genes
the genes.


m_Fitness

double[] m_Fitness
the fitness of the genes.


m_BestRange

Range m_BestRange
stores the best range of attribtues.


m_FavorZeroes

boolean m_FavorZeroes
whether to favor 0s instead of 1s.


m_Seed

int m_Seed
the seed value.


m_Random

Random m_Random
the random number generator.


m_Running

boolean m_Running
whether the algorithm is still running.


m_MaxTrainTime

int m_MaxTrainTime
the maximum number of seconds to train.


m_TrainStart

long m_TrainStart
the time when training commenced.


m_Iterations

int m_Iterations
number of iterations.

Class adams.optimise.genetic.PackData extends Object implements Serializable

serialVersionUID: 5282852389389950782L

Serialized Fields

m_pdd

PackDataDef m_pdd

m_data

Hashtable<K,V> m_data

Class adams.optimise.genetic.PackDataDef extends Object implements Serializable

serialVersionUID: -4776734918844200382L

Serialized Fields

m_sort_packed

Hashtable<K,V> m_sort_packed

m_packed

Vector<E> m_packed

Class adams.optimise.genetic.PackDataGeneticAlgorithm extends AbstractGeneticAlgorithm implements Serializable

serialVersionUID: 4301615908806659455L

Serialized Fields

m_pdd

PackDataDef m_pdd

Package adams.optimise.genetic.fitnessfunctions

Class adams.optimise.genetic.fitnessfunctions.AbstractWEKAFitnessFunction extends AbstractFitnessFunction implements Serializable

serialVersionUID: 8593164242546231576L

Serialized Fields

m_Instances

weka.core.Instances m_Instances
the data to use for cross-validation.


m_Dataset

PlaceholderFile m_Dataset
the filename of the data to use for cross-validation.


m_Classifier

weka.classifiers.Classifier m_Classifier
the classifier to use if no serialized model is given.


m_OutputDirectory

PlaceholderDirectory m_OutputDirectory
the directory to store the generated ARFF files in.


m_Folds

int m_Folds
the number of folds for cross-validation.


m_CrossValidationSeed

int m_CrossValidationSeed
the cross-validation seed.


m_ClassIndex

String m_ClassIndex
the class index.


m_Measure

AbstractWEKAFitnessFunction.Measure m_Measure
the measure to use for evaluating the fitness.


m_init

boolean m_init
initialised?

Class adams.optimise.genetic.fitnessfunctions.AttributeSelection extends AbstractWEKAFitnessFunction implements Serializable

serialVersionUID: 1967190416117903831L


Package adams.tools

Class adams.tools.AbstractAddRemoveTimeWindowDatabaseTool extends AbstractTimeWindowDatabaseTool implements Serializable

serialVersionUID: -4704807429728625180L

Serialized Fields

m_Add

boolean m_Add

m_Remove

boolean m_Remove

m_Store

boolean m_Store

Class adams.tools.AbstractDatabaseTool extends AbstractTool implements Serializable

serialVersionUID: -8882774800775467939L

Class adams.tools.AbstractTimeWindowDatabaseTool extends AbstractDatabaseTool implements Serializable

serialVersionUID: 253961492399585127L

Serialized Fields

m_StartDate

BaseDateTime m_StartDate

m_EndDate

BaseDateTime m_EndDate

Class adams.tools.AbstractTool extends AbstractOptionHandler implements Serializable

serialVersionUID: 8248797808829239144L

Class adams.tools.CompareDatasets extends AbstractTool implements Serializable

serialVersionUID: -1399473007795695271L

Serialized Fields

m_Dataset1

PlaceholderFile m_Dataset1
the first dataset.


m_Range1

Range m_Range1
the first range of attributes.


m_RowAttribute1

Index m_RowAttribute1
the optional attribute for matching up rows (dataset 1).


m_Dataset2

PlaceholderFile m_Dataset2
the second dataset.


m_Range2

Range m_Range2
the second range of attributes.


m_RowAttribute2

Index m_RowAttribute2
the optional attribute for matching up rows (dataset 2).


m_OutputFile

PlaceholderFile m_OutputFile
the output file (CSV format).


m_Missing

PlaceholderFile m_Missing
the output file for missing tests (CSV format).


m_Data1

weka.core.Instances m_Data1
the current dataset 1.


m_Data2

weka.core.Instances m_Data2
the current dataset 2.


m_UseRowAttribute

Boolean m_UseRowAttribute
whether to use the row attribute or not.


m_RowAttributeIsString

boolean m_RowAttributeIsString
whether the row attribute is a string/nominal attribute or not.


m_Indices1

int[] m_Indices1
the indices for the first dataset.


m_Indices2

int[] m_Indices2
the indices for the second dataset.


m_Lookup2

Hashtable<K,V> m_Lookup2
the lookup table of indices for the second dataset.


m_Threshold

double m_Threshold
the threshold for listing correlations.

Class adams.tools.DropTables extends AbstractDatabaseTool implements Serializable

serialVersionUID: 5980651808577627734L

Serialized Fields

m_RegExp

BaseRegExp m_RegExp

m_Invert

boolean m_Invert

Class adams.tools.InitializeTables extends AbstractDatabaseTool implements Serializable

serialVersionUID: 1052968728531351369L

Class adams.tools.RunTool extends RunDatabaseScheme implements Serializable

serialVersionUID: 7648856946524265052L

Serialized Fields

m_Tool

AbstractTool m_Tool

Class adams.tools.TableUpgrade extends AbstractDatabaseTool implements Serializable

serialVersionUID: -1179186237647446679L

Serialized Fields

m_TableUpgrade

AbstractTableUpgrade m_TableUpgrade

Package weka.classifiers

Class weka.classifiers.AbstractClassifier extends Object implements Serializable

serialVersionUID: 6502780192411755341L

Serialized Fields

m_Debug

boolean m_Debug

Class weka.classifiers.AggregateableEvaluation extends weka.classifiers.Evaluation implements Serializable

serialVersionUID: 8734675926526110924L

Class weka.classifiers.CostMatrix extends Object implements Serializable

serialVersionUID: -1973792250544554965L

Serialized Fields

m_size

int m_size

m_matrix

Object[][] m_matrix

Class weka.classifiers.Evaluation extends Object implements Serializable

serialVersionUID: -7010314486866816271L

Serialized Fields

m_NumClasses

int m_NumClasses

m_NumFolds

int m_NumFolds

m_Incorrect

double m_Incorrect

m_Correct

double m_Correct

m_Unclassified

double m_Unclassified

m_MissingClass

double m_MissingClass

m_WithClass

double m_WithClass

m_ConfusionMatrix

double[][] m_ConfusionMatrix

m_ClassNames

String[] m_ClassNames

m_ClassIsNominal

boolean m_ClassIsNominal

m_ClassPriors

double[] m_ClassPriors

m_ClassPriorsSum

double m_ClassPriorsSum

m_CostMatrix

weka.classifiers.CostMatrix m_CostMatrix

m_TotalCost

double m_TotalCost

m_SumErr

double m_SumErr

m_SumAbsErr

double m_SumAbsErr

m_SumSqrErr

double m_SumSqrErr

m_SumClass

double m_SumClass

m_SumSqrClass

double m_SumSqrClass

m_SumPredicted

double m_SumPredicted

m_SumSqrPredicted

double m_SumSqrPredicted

m_SumClassPredicted

double m_SumClassPredicted

m_SumPriorAbsErr

double m_SumPriorAbsErr

m_SumPriorSqrErr

double m_SumPriorSqrErr

m_SumKBInfo

double m_SumKBInfo

m_MarginCounts

double[] m_MarginCounts

m_NumTrainClassVals

int m_NumTrainClassVals

m_TrainClassVals

double[] m_TrainClassVals

m_TrainClassWeights

double[] m_TrainClassWeights

m_PriorEstimator

weka.estimators.UnivariateKernelEstimator m_PriorEstimator

m_ComplexityStatisticsAvailable

boolean m_ComplexityStatisticsAvailable

m_SumPriorEntropy

double m_SumPriorEntropy

m_SumSchemeEntropy

double m_SumSchemeEntropy

m_CoverageStatisticsAvailable

boolean m_CoverageStatisticsAvailable

m_ConfLevel

double m_ConfLevel

m_TotalSizeOfRegions

double m_TotalSizeOfRegions

m_TotalCoverage

double m_TotalCoverage

m_MinTarget

double m_MinTarget

m_MaxTarget

double m_MaxTarget

m_Predictions

weka.core.FastVector<E> m_Predictions

m_NoPriors

boolean m_NoPriors

m_Header

weka.core.Instances m_Header

m_DiscardPredictions

boolean m_DiscardPredictions

Class weka.classifiers.IteratedSingleClassifierEnhancer extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -6217979135443319724L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[] m_Classifiers

m_NumIterations

int m_NumIterations

Class weka.classifiers.MultipleClassifiersCombiner extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 2776436621129422119L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[] m_Classifiers

Class weka.classifiers.ParallelIteratedSingleClassifierEnhancer extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -5026378741833046436L

Serialized Fields

m_numExecutionSlots

int m_numExecutionSlots

m_completed

int m_completed

m_failed

int m_failed

Class weka.classifiers.ParallelMultipleClassifiersCombiner extends weka.classifiers.MultipleClassifiersCombiner implements Serializable

serialVersionUID: 728109028953726626L

Serialized Fields

m_numExecutionSlots

int m_numExecutionSlots

m_completed

int m_completed

m_failed

int m_failed

Class weka.classifiers.RandomizableClassifier extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -8816375798262351903L

Serialized Fields

m_Seed

int m_Seed

Class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: 5063351391524938557L

Serialized Fields

m_Seed

int m_Seed

Class weka.classifiers.RandomizableMultipleClassifiersCombiner extends weka.classifiers.MultipleClassifiersCombiner implements Serializable

serialVersionUID: 5057936555724785679L

Serialized Fields

m_Seed

int m_Seed

Class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer extends weka.classifiers.ParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: 1298141000373615374L

Serialized Fields

m_Seed

int m_Seed

Class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner extends weka.classifiers.ParallelMultipleClassifiersCombiner implements Serializable

serialVersionUID: 8274061943448676943L

Serialized Fields

m_Seed

int m_Seed

Class weka.classifiers.RandomizableSingleClassifierEnhancer extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 558286687096157160L

Serialized Fields

m_Seed

int m_Seed

Class weka.classifiers.SingleClassifierEnhancer extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -3665885256363525164L

Serialized Fields

m_Classifier

weka.classifiers.Classifier m_Classifier

Package weka.classifiers.functions

Class weka.classifiers.functions.GaussianProcesses extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -8620066949967678545L

Serialized Fields

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Filter

weka.filters.Filter m_Filter

m_filterType

int m_filterType

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_checksTurnedOff

boolean m_checksTurnedOff

m_delta

double m_delta

m_Alin

double m_Alin

m_Blin

double m_Blin

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

m_NumTrain

int m_NumTrain

m_avg_target

double m_avg_target

m_L

double[][] m_L

m_t

weka.core.matrix.Matrix m_t

Class weka.classifiers.functions.GaussianProcessesAdaptive extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -8620066941167678545L

Serialized Fields

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
The filter used to make attributes numeric.


m_Filter

weka.filters.Filter m_Filter
The filter used to standardize/normalize all values.


m_filterType

int m_filterType
Whether to normalize/standardize/neither


m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
The filter used to get rid of missing values.


m_checksTurnedOff

boolean m_checksTurnedOff
Turn off all checks and conversions? Turning them off assumes that data is purely numeric, doesn't contain any missing values, and has a numeric class.


m_delta

double m_delta
Gaussian Noise Value.


m_deltaClass

double m_deltaClass
Gaussian Noise Value for class.


m_classIndex

int m_classIndex
The class index from the training data


m_Alin

double m_Alin
The parameters of the linear transforamtion realized by the filter on the class attribute


m_Blin

double m_Blin

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel
Kernel to use *


m_NumTrain

int m_NumTrain
The number of training instances


m_avg_target

double m_avg_target
The training data.


m_L

double[][] m_L
(negative) covariance matrix in symmetric matrix representation


m_t

weka.core.matrix.Matrix m_t
The vector of target values.


m_KernelIsLinear

boolean m_KernelIsLinear
whether the kernel is a linear one


m_fDev

double m_fDev

Class weka.classifiers.functions.GaussianProcessesWeighted extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -8620066949967678545L

Serialized Fields

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
The filter used to make attributes numeric.


m_Filter

weka.filters.Filter m_Filter
The filter used to standardize/normalize all values.


m_filterType

int m_filterType
Whether to normalize/standardize/neither


m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
The filter used to get rid of missing values.


m_checksTurnedOff

boolean m_checksTurnedOff
Turn off all checks and conversions? Turning them off assumes that data is purely numeric, doesn't contain any missing values, and has a numeric class.


m_delta

double m_delta
Gaussian Noise Value.


m_classIndex

int m_classIndex
The class index from the training data


m_Alin

double m_Alin
The parameters of the linear transforamtion realized by the filter on the class attribute


m_Blin

double m_Blin

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel
Kernel to use


m_NumTrain

int m_NumTrain
The number of training instances


m_avg_target

double m_avg_target
The training data.


m_C

weka.core.matrix.Matrix m_C
The covariance matrix.


m_t

weka.core.matrix.Matrix m_t
The vector of target values.


m_KernelIsLinear

boolean m_KernelIsLinear
whether the kernel is a linear one

Class weka.classifiers.functions.GPD extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -8620066949967678545L

Serialized Fields

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary
The filter used to make attributes numeric.


m_Filter

weka.filters.Filter m_Filter
The filter used to standardize/normalize all values.


m_filterType

int m_filterType
Whether to normalize/standardize/neither


m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing
The filter used to get rid of missing values.


m_checksTurnedOff

boolean m_checksTurnedOff
Turn off all checks and conversions? Turning them off assumes that data is purely numeric, doesn't contain any missing values, and has a numeric class.


m_delta

double m_delta
Gaussian Noise Value.


m_classIndex

int m_classIndex
The class index from the training data


m_data

double[][] m_data

m_gamma

double m_gamma

m_Alin

double m_Alin
The parameters of the linear transforamtion realized by the filter on the class attribute


m_Blin

double m_Blin

m_NumTrain

int m_NumTrain
The number of training instances


m_avg_target

double m_avg_target
The training data.


m_t

double[] m_t
The vector of target values.


m_chol

double[][] m_chol

m_L

double[][] m_L

Class weka.classifiers.functions.LinearRegression extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -3364580862046573747L

Serialized Fields

m_Coefficients

double[] m_Coefficients

m_SelectedAttributes

boolean[] m_SelectedAttributes

m_TransformedData

weka.core.Instances m_TransformedData

m_MissingFilter

weka.filters.unsupervised.attribute.ReplaceMissingValues m_MissingFilter

m_TransformFilter

weka.filters.supervised.attribute.NominalToBinary m_TransformFilter

m_ClassStdDev

double m_ClassStdDev

m_ClassMean

double m_ClassMean

m_ClassIndex

int m_ClassIndex

m_Means

double[] m_Means

m_StdDevs

double[] m_StdDevs

m_AttributeSelection

int m_AttributeSelection

m_EliminateColinearAttributes

boolean m_EliminateColinearAttributes

m_checksTurnedOff

boolean m_checksTurnedOff

m_Ridge

double m_Ridge

m_Minimal

boolean m_Minimal

m_ModelBuilt

boolean m_ModelBuilt

Class weka.classifiers.functions.Logistic extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 3932117032546553727L

Serialized Fields

m_Par

double[][] m_Par

m_Data

double[][] m_Data

m_NumPredictors

int m_NumPredictors

m_ClassIndex

int m_ClassIndex

m_NumClasses

int m_NumClasses

m_Ridge

double m_Ridge

m_AttFilter

weka.filters.unsupervised.attribute.RemoveUseless m_AttFilter

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

m_Debug

boolean m_Debug

m_LL

double m_LL

m_MaxIts

int m_MaxIts

m_useConjugateGradientDescent

boolean m_useConjugateGradientDescent

m_structure

weka.core.Instances m_structure

Class weka.classifiers.functions.MultilayerPerceptron extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -5990607817048210779L

Serialized Fields

m_ZeroR

weka.classifiers.Classifier m_ZeroR

m_useDefaultModel

boolean m_useDefaultModel

m_instances

weka.core.Instances m_instances

m_currentInstance

weka.core.Instance m_currentInstance

m_numeric

boolean m_numeric

m_attributeRanges

double[] m_attributeRanges

m_attributeBases

double[] m_attributeBases

m_outputs

weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_outputs

m_inputs

weka.classifiers.functions.MultilayerPerceptron.NeuralEnd[] m_inputs

m_neuralNodes

weka.classifiers.functions.neural.NeuralConnection[] m_neuralNodes

m_numClasses

int m_numClasses

m_numAttributes

int m_numAttributes

m_nodePanel

weka.classifiers.functions.MultilayerPerceptron.NodePanel m_nodePanel

m_controlPanel

weka.classifiers.functions.MultilayerPerceptron.ControlPanel m_controlPanel

m_nextId

int m_nextId

m_selected

weka.core.FastVector<E> m_selected

m_graphers

weka.core.FastVector<E> m_graphers

m_numEpochs

int m_numEpochs

m_stopIt

boolean m_stopIt

m_stopped

boolean m_stopped

m_accepted

boolean m_accepted

m_win

JFrame m_win

m_autoBuild

boolean m_autoBuild

m_gui

boolean m_gui

m_valSize

int m_valSize

m_driftThreshold

int m_driftThreshold

m_randomSeed

int m_randomSeed

m_random

Random m_random

m_useNomToBin

boolean m_useNomToBin

m_nominalToBinaryFilter

weka.filters.unsupervised.attribute.NominalToBinary m_nominalToBinaryFilter

m_hiddenLayers

String m_hiddenLayers

m_normalizeAttributes

boolean m_normalizeAttributes

m_decay

boolean m_decay

m_learningRate

double m_learningRate

m_momentum

double m_momentum

m_epoch

int m_epoch

m_error

double m_error

m_reset

boolean m_reset

m_normalizeClass

boolean m_normalizeClass

m_sigmoidUnit

weka.classifiers.functions.neural.SigmoidUnit m_sigmoidUnit

m_linearUnit

weka.classifiers.functions.neural.LinearUnit m_linearUnit

Class weka.classifiers.functions.MultilayerPerceptron.NeuralEnd extends weka.classifiers.functions.neural.NeuralConnection implements Serializable

serialVersionUID: 7305185603191183338L

Serialized Fields

m_link

int m_link

m_input

boolean m_input

Class weka.classifiers.functions.PLSClassifier extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 4819775160590973256L

Serialized Fields

m_Filter

weka.filters.supervised.attribute.PLSFilter m_Filter

m_ActualFilter

weka.filters.supervised.attribute.PLSFilter m_ActualFilter

Class weka.classifiers.functions.PLSClassifierWeighted extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 4819775160590973256L

Serialized Fields

m_Filter

weka.filters.supervised.attribute.PLSFilter m_Filter
the PLS filter


m_ActualFilter

weka.filters.supervised.attribute.PLSFilter m_ActualFilter
the actual filter to use

Class weka.classifiers.functions.SGD extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID: -3732968666673530290L

Serialized Fields

m_replaceMissing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing

m_nominalToBinary

weka.filters.Filter m_nominalToBinary

m_normalize

weka.filters.unsupervised.attribute.Normalize m_normalize

m_lambda

double m_lambda

m_learningRate

double m_learningRate

m_weights

double[] m_weights

m_t

double m_t

m_numInstances

double m_numInstances

m_epochs

int m_epochs

m_dontNormalize

boolean m_dontNormalize

m_dontReplaceMissing

boolean m_dontReplaceMissing

m_data

weka.core.Instances m_data

m_loss

int m_loss

Class weka.classifiers.functions.SGDText extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID: 7200171484002029584L

Serialized Fields

m_periodicP

int m_periodicP

m_minWordP

double m_minWordP

m_wordFrequencies

boolean m_wordFrequencies

m_normalize

boolean m_normalize

m_norm

double m_norm

m_lnorm

double m_lnorm

m_dictionary

LinkedHashMap<K,V> m_dictionary

m_stopwordsFile

File m_stopwordsFile

m_tokenizer

weka.core.tokenizers.Tokenizer m_tokenizer

m_lowercaseTokens

boolean m_lowercaseTokens

m_stemmer

weka.core.stemmers.Stemmer m_stemmer

m_useStopList

boolean m_useStopList

m_lambda

double m_lambda

m_learningRate

double m_learningRate

m_t

double m_t

m_bias

double m_bias

m_numInstances

double m_numInstances

m_data

weka.core.Instances m_data

m_epochs

int m_epochs

m_loss

int m_loss

m_svmProbs

weka.classifiers.functions.SGD m_svmProbs

m_fitLogistic

boolean m_fitLogistic

m_fitLogisticStructure

weka.core.Instances m_fitLogisticStructure

Class weka.classifiers.functions.SimpleLinearRegression extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 1679336022895414137L

Serialized Fields

m_attribute

weka.core.Attribute m_attribute

m_attributeIndex

int m_attributeIndex

m_slope

double m_slope

m_intercept

double m_intercept

m_suppressErrorMessage

boolean m_suppressErrorMessage

Class weka.classifiers.functions.SimpleLogistic extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 7397710626304705059L

Serialized Fields

m_boostedModel

weka.classifiers.trees.lmt.LogisticBase m_boostedModel

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

m_numBoostingIterations

int m_numBoostingIterations

m_maxBoostingIterations

int m_maxBoostingIterations

m_heuristicStop

int m_heuristicStop

m_useCrossValidation

boolean m_useCrossValidation

m_errorOnProbabilities

boolean m_errorOnProbabilities

m_weightTrimBeta

double m_weightTrimBeta

m_useAIC

boolean m_useAIC

Class weka.classifiers.functions.SMO extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -6585883636378691736L

Serialized Fields

m_classifiers

weka.classifiers.functions.SMO.BinarySMO[][] m_classifiers

m_C

double m_C

m_eps

double m_eps

m_tol

double m_tol

m_filterType

int m_filterType

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Filter

weka.filters.Filter m_Filter

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_classIndex

int m_classIndex

m_classAttribute

weka.core.Attribute m_classAttribute

m_KernelIsLinear

boolean m_KernelIsLinear

m_checksTurnedOff

boolean m_checksTurnedOff

m_fitLogisticModels

boolean m_fitLogisticModels

m_numFolds

int m_numFolds

m_randomSeed

int m_randomSeed

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

Class weka.classifiers.functions.SMO.BinarySMO extends Object implements Serializable

serialVersionUID: -8246163625699362456L

Serialized Fields

m_alpha

double[] m_alpha

m_b

double m_b

m_bLow

double m_bLow

m_bUp

double m_bUp

m_iLow

int m_iLow

m_iUp

int m_iUp

m_data

weka.core.Instances m_data

m_weights

double[] m_weights

m_sparseWeights

double[] m_sparseWeights

m_sparseIndices

int[] m_sparseIndices

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

m_class

double[] m_class

m_errors

double[] m_errors

m_I0

weka.classifiers.functions.supportVector.SMOset m_I0

m_I1

weka.classifiers.functions.supportVector.SMOset m_I1

m_I2

weka.classifiers.functions.supportVector.SMOset m_I2

m_I3

weka.classifiers.functions.supportVector.SMOset m_I3

m_I4

weka.classifiers.functions.supportVector.SMOset m_I4

m_supportVectors

weka.classifiers.functions.supportVector.SMOset m_supportVectors

m_logistic

weka.classifiers.functions.Logistic m_logistic

m_sumOfWeights

double m_sumOfWeights

Class weka.classifiers.functions.SMOreg extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -7149606251113102827L

Serialized Fields

m_filterType

int m_filterType

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Filter

weka.filters.Filter m_Filter

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_onlyNumeric

boolean m_onlyNumeric

m_C

double m_C

m_x1

double m_x1

m_x0

double m_x0

m_optimizer

weka.classifiers.functions.supportVector.RegOptimizer m_optimizer

m_kernel

weka.classifiers.functions.supportVector.Kernel m_kernel

Class weka.classifiers.functions.VotedPerceptron extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -1072429260104568698L

Serialized Fields

m_MaxK

int m_MaxK

m_NumIterations

int m_NumIterations

m_Exponent

double m_Exponent

m_K

int m_K

m_Additions

int[] m_Additions

m_IsAddition

boolean[] m_IsAddition

m_Weights

int[] m_Weights

m_Train

weka.core.Instances m_Train

m_Seed

int m_Seed

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_ReplaceMissingValues

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingValues

Package weka.classifiers.lazy

Class weka.classifiers.lazy.IBk extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -3080186098777067172L

Serialized Fields

m_Train

weka.core.Instances m_Train

m_NumClasses

int m_NumClasses

m_ClassType

int m_ClassType

m_kNN

int m_kNN

m_kNNUpper

int m_kNNUpper

m_kNNValid

boolean m_kNNValid

m_WindowSize

int m_WindowSize

m_DistanceWeighting

int m_DistanceWeighting

m_CrossValidate

boolean m_CrossValidate

m_MeanSquared

boolean m_MeanSquared

m_defaultModel

weka.classifiers.rules.ZeroR m_defaultModel

m_NNSearch

weka.core.neighboursearch.NearestNeighbourSearch m_NNSearch

m_NumAttributesUsed

double m_NumAttributesUsed

Class weka.classifiers.lazy.KStar extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 332458330800479083L

Serialized Fields

m_Train

weka.core.Instances m_Train

m_NumInstances

int m_NumInstances

m_NumClasses

int m_NumClasses

m_NumAttributes

int m_NumAttributes

m_ClassType

int m_ClassType

m_RandClassCols

int[][] m_RandClassCols

m_ComputeRandomCols

int m_ComputeRandomCols

m_InitFlag

int m_InitFlag

m_Cache

weka.classifiers.lazy.kstar.KStarCache[] m_Cache

m_MissingMode

int m_MissingMode

m_BlendMethod

int m_BlendMethod

m_GlobalBlend

int m_GlobalBlend

Class weka.classifiers.lazy.LWL extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 1979797405383665815L

Serialized Fields

m_Train

weka.core.Instances m_Train

m_kNN

int m_kNN

m_WeightKernel

int m_WeightKernel

m_UseAllK

boolean m_UseAllK

m_NNSearch

weka.core.neighboursearch.NearestNeighbourSearch m_NNSearch

m_ZeroR

weka.classifiers.Classifier m_ZeroR

Class weka.classifiers.lazy.LWLIntervalEstimator extends LWLSynchro implements Serializable

serialVersionUID: 4368796865814525074L

Class weka.classifiers.lazy.LWLSynchro extends weka.classifiers.lazy.LWL implements Serializable

serialVersionUID: 1979797405383665815L

Serialized Fields

m_NoUpdate

boolean m_NoUpdate
whether to suppress the update of the nearest-neighbor search algorithm when making predictions.


Package weka.classifiers.meta

Class weka.classifiers.meta.AbstainAttributePercentile extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 3063502797829542418L

Serialized Fields

m_Data

weka.core.Instances m_Data

m_attnum

int m_attnum

m_debug

boolean m_debug

m_pctile

double m_pctile

m_ok

boolean m_ok

m_removetrain

boolean m_removetrain

m_min

double m_min

m_max

double m_max

m_Ranges

Hashtable<K,V> m_Ranges
the ranges (attribute index <-> double[]).


m_Range

Range m_Range

Class weka.classifiers.meta.AbstainLeastMedianSq extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -1411619239601765926L

Serialized Fields

m_Residuals

double[] m_Residuals

m_weight

double[] m_weight

m_SSR

double m_SSR

m_scalefactor

double m_scalefactor

m_bestMedian

double m_bestMedian

m_Ridge

double m_Ridge

m_currentClassifier

weka.classifiers.Classifier m_currentClassifier

m_bestClassifier

weka.classifiers.Classifier m_bestClassifier

m_Data

weka.core.Instances m_Data

m_SubSample

weka.core.Instances m_SubSample

m_numreg

int m_numreg

m_instancepct

int m_instancepct

m_errPct

int m_errPct

m_debug

boolean m_debug

m_random

Random m_random

m_randomseed

long m_randomseed

m_variance

double m_variance

m_ok

boolean m_ok

m_min

double m_min

m_max

double m_max

m_cs

weka.classifiers.Classifier[] m_cs

Class weka.classifiers.meta.AdaBoostM1 extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -7378107808933117974L

Serialized Fields

m_Betas

double[] m_Betas

m_NumIterationsPerformed

int m_NumIterationsPerformed

m_WeightThreshold

int m_WeightThreshold

m_UseResampling

boolean m_UseResampling

m_NumClasses

int m_NumClasses

m_ZeroR

weka.classifiers.Classifier m_ZeroR

Class weka.classifiers.meta.AdditiveRegression extends weka.classifiers.IteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -2368937577670527151L

Serialized Fields

m_shrinkage

double m_shrinkage

m_NumIterationsPerformed

int m_NumIterationsPerformed

m_zeroR

weka.classifiers.rules.ZeroR m_zeroR

m_SuitableData

boolean m_SuitableData

Class weka.classifiers.meta.AttributeSelectedClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -5951805453487947577L

Serialized Fields

m_AttributeSelection

weka.attributeSelection.AttributeSelection m_AttributeSelection

m_Evaluator

weka.attributeSelection.ASEvaluation m_Evaluator

m_Search

weka.attributeSelection.ASSearch m_Search

m_ReducedHeader

weka.core.Instances m_ReducedHeader

m_numClasses

int m_numClasses

m_numAttributesSelected

double m_numAttributesSelected

m_selectionTime

double m_selectionTime

m_totalTime

double m_totalTime

Class weka.classifiers.meta.Bagging extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -505879962237199703L

Serialized Fields

m_BagSizePercent

int m_BagSizePercent

m_CalcOutOfBag

boolean m_CalcOutOfBag

m_OutOfBagError

double m_OutOfBagError

m_random

Random m_random

m_inBag

boolean[][] m_inBag

m_data

weka.core.Instances m_data

Class weka.classifiers.meta.ClassificationViaRegression extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 4500023123618669859L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[] m_Classifiers

m_ClassFilters

weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters

Class weka.classifiers.meta.ClassificationViaRegressionD extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 4500023123618669859L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[] m_Classifiers
The classifiers. (One for each class.)


m_ClassFilters

weka.filters.unsupervised.attribute.MakeIndicator[] m_ClassFilters
The filters used to transform the class.

Class weka.classifiers.meta.Corr extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -8615616615151098897L

Serialized Fields

m_remove

weka.filters.unsupervised.attribute.Remove m_remove

m_classIndex

int m_classIndex

m_k

int m_k

m_subset

int[] m_subset

m_coeffs

double[] m_coeffs

Class weka.classifiers.meta.CostSensitiveClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -720658209263002404L

Serialized Fields

m_MatrixSource

int m_MatrixSource

m_OnDemandDirectory

File m_OnDemandDirectory

m_CostFile

String m_CostFile

m_CostMatrix

weka.classifiers.CostMatrix m_CostMatrix

m_MinimizeExpectedCost

boolean m_MinimizeExpectedCost

Class weka.classifiers.meta.CVParameterSelection extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -6529603380876641265L

Serialized Fields

m_ClassifierOptions

String[] m_ClassifierOptions

m_BestClassifierOptions

String[] m_BestClassifierOptions

m_InitOptions

String[] m_InitOptions

m_BestPerformance

double m_BestPerformance

m_CVParams

weka.core.FastVector<E> m_CVParams

m_NumAttributes

int m_NumAttributes

m_TrainFoldSize

int m_TrainFoldSize

m_NumFolds

int m_NumFolds

Class weka.classifiers.meta.CVParameterSelection.CVParameter extends Object implements Serializable

serialVersionUID: -4668812017709421953L

Serialized Fields

m_ParamChar

String m_ParamChar

m_Lower

double m_Lower

m_Upper

double m_Upper

m_Steps

double m_Steps

m_ParamValue

double m_ParamValue

m_AddAtEnd

boolean m_AddAtEnd

m_RoundParam

boolean m_RoundParam

Class weka.classifiers.meta.FilteredClassifier extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -4523450618538717400L

Serialized Fields

m_Filter

weka.filters.Filter m_Filter

m_FilteredInstances

weka.core.Instances m_FilteredInstances

Class weka.classifiers.meta.FilteredClassifierExt extends weka.classifiers.meta.FilteredClassifier implements Serializable

serialVersionUID: -696353491455375160L

Serialized Fields

m_Remove

weka.filters.unsupervised.attribute.Remove m_Remove
The additional remove filter.

Class weka.classifiers.meta.GridSearch extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -3034773968581595348L

Serialized Fields

m_Filter

weka.filters.Filter m_Filter

m_BestFilter

weka.filters.Filter m_BestFilter

m_BestClassifier

weka.classifiers.Classifier m_BestClassifier

m_Values

weka.classifiers.meta.GridSearch.PointDouble m_Values

m_Evaluation

int m_Evaluation

m_Y_Property

String m_Y_Property

m_Y_Min

double m_Y_Min

m_Y_Max

double m_Y_Max

m_Y_Step

double m_Y_Step

m_Y_Base

double m_Y_Base

m_Y_Expression

String m_Y_Expression

m_X_Property

String m_X_Property

m_X_Min

double m_X_Min

m_X_Max

double m_X_Max

m_X_Step

double m_X_Step

m_X_Base

double m_X_Base

m_X_Expression

String m_X_Expression

m_GridIsExtendable

boolean m_GridIsExtendable

m_MaxGridExtensions

int m_MaxGridExtensions

m_GridExtensionsPerformed

int m_GridExtensionsPerformed

m_SampleSize

double m_SampleSize

m_Traversal

int m_Traversal

m_LogFile

File m_LogFile

m_Grid

weka.classifiers.meta.GridSearch.Grid m_Grid

m_Data

weka.core.Instances m_Data

m_Cache

weka.classifiers.meta.GridSearch.PerformanceCache m_Cache

m_Performances

Vector<E> m_Performances

m_UniformPerformance

boolean m_UniformPerformance

m_NumExecutionSlots

int m_NumExecutionSlots

m_Completed

int m_Completed

m_Failed

int m_Failed

m_NumSetups

int m_NumSetups

m_Generator

weka.classifiers.meta.GridSearch.SetupGenerator m_Generator

Class weka.classifiers.meta.GridSearch.Grid extends Object implements Serializable

serialVersionUID: 7290732613611243139L

Serialized Fields

m_MinX

double m_MinX

m_MaxX

double m_MaxX

m_StepX

double m_StepX

m_LabelX

String m_LabelX

m_MinY

double m_MinY

m_MaxY

double m_MaxY

m_StepY

double m_StepY

m_LabelY

String m_LabelY

m_Width

int m_Width

m_Height

int m_Height

Class weka.classifiers.meta.GridSearch.Performance extends Object implements Serializable

serialVersionUID: -4374706475277588755L

Serialized Fields

m_Values

weka.classifiers.meta.GridSearch.PointDouble m_Values

m_CC

double m_CC

m_RMSE

double m_RMSE

m_RRSE

double m_RRSE

m_MAE

double m_MAE

m_RAE

double m_RAE

m_ACC

double m_ACC

m_wAUC

double m_wAUC

m_Kappa

double m_Kappa

Class weka.classifiers.meta.GridSearch.PerformanceCache extends Object implements Serializable

serialVersionUID: 5838863230451530252L

Serialized Fields

m_Cache

Hashtable<K,V> m_Cache

Class weka.classifiers.meta.GridSearch.PerformanceComparator extends Object implements Serializable

serialVersionUID: 6507592831825393847L

Serialized Fields

m_Evaluation

int m_Evaluation

Class weka.classifiers.meta.GridSearch.PerformanceTable extends Object implements Serializable

serialVersionUID: 5486491313460338379L

Serialized Fields

m_Owner

weka.classifiers.meta.GridSearch m_Owner

m_Grid

weka.classifiers.meta.GridSearch.Grid m_Grid

m_Performances

Vector<E> m_Performances

m_Type

int m_Type

m_Table

double[][] m_Table

m_Min

double m_Min

m_Max

double m_Max

Class weka.classifiers.meta.GridSearch.PointDouble extends Point2D.Double implements Serializable

serialVersionUID: 7151661776161898119L

Class weka.classifiers.meta.GridSearch.PointInt extends Point implements Serializable

serialVersionUID: -5900415163698021618L

Class weka.classifiers.meta.GridSearch.SetupGenerator extends Object implements Serializable

serialVersionUID: -2517395033342543417L

Serialized Fields

m_Owner

weka.classifiers.meta.GridSearch m_Owner

m_Y_Property

String m_Y_Property

m_Y_Min

double m_Y_Min

m_Y_Max

double m_Y_Max

m_Y_Step

double m_Y_Step

m_Y_Base

double m_Y_Base

m_Y_Expression

String m_Y_Expression

m_X_Property

String m_X_Property

m_X_Min

double m_X_Min

m_X_Max

double m_X_Max

m_X_Step

double m_X_Step

m_X_Base

double m_X_Base

m_X_Expression

String m_X_Expression

Class weka.classifiers.meta.LeastMedianSq extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -2767224971510964983L

Serialized Fields

m_Residuals

double[] m_Residuals

m_weight

double[] m_weight

m_SSR

double m_SSR

m_scalefactor

double m_scalefactor

m_bestMedian

double m_bestMedian

m_Ridge

double m_Ridge

m_currentClassifier

weka.classifiers.Classifier m_currentClassifier

m_bestClassifier

weka.classifiers.Classifier m_bestClassifier

m_Data

weka.core.Instances m_Data

m_SubSample

weka.core.Instances m_SubSample

m_numreg

int m_numreg

m_instancepct

int m_instancepct

m_errPct

int m_errPct

m_debug

boolean m_debug

m_random

Random m_random

m_randomseed

long m_randomseed

Class weka.classifiers.meta.LogitBoost extends weka.classifiers.RandomizableIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -3905660358715833753L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[][] m_Classifiers

m_NumClasses

int m_NumClasses

m_NumGenerated

int m_NumGenerated

m_NumFolds

int m_NumFolds

m_NumRuns

int m_NumRuns

m_WeightThreshold

int m_WeightThreshold

m_NumericClassData

weka.core.Instances m_NumericClassData

m_ClassAttribute

weka.core.Attribute m_ClassAttribute

m_UseResampling

boolean m_UseResampling

m_Precision

double m_Precision

m_Shrinkage

double m_Shrinkage

m_RandomInstance

Random m_RandomInstance

m_Offset

double m_Offset

m_ZeroR

weka.classifiers.Classifier m_ZeroR

Class weka.classifiers.meta.LogTargetRegressor extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -6941274159321491218L

Class weka.classifiers.meta.MultiClassClassifier extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -3879602011542849141L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[] m_Classifiers

m_pairwiseCoupling

boolean m_pairwiseCoupling

m_SumOfWeights

double[] m_SumOfWeights

m_ClassFilters

weka.filters.Filter[] m_ClassFilters

m_ZeroR

weka.classifiers.rules.ZeroR m_ZeroR

m_ClassAttribute

weka.core.Attribute m_ClassAttribute

m_TwoClassDataset

weka.core.Instances m_TwoClassDataset

m_RandomWidthFactor

double m_RandomWidthFactor

m_Method

int m_Method

Class weka.classifiers.meta.MultiClassClassifierUpdateable extends weka.classifiers.meta.MultiClassClassifier implements Serializable

serialVersionUID: -1619685269774366430L

Class weka.classifiers.meta.MultiScheme extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable

serialVersionUID: 5710744346128957520L

Serialized Fields

m_Classifier

weka.classifiers.Classifier m_Classifier

m_ClassifierIndex

int m_ClassifierIndex

m_NumXValFolds

int m_NumXValFolds

Class weka.classifiers.meta.MultiSearch extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -5129316523575906233L

Serialized Fields

m_BestClassifier

weka.classifiers.Classifier m_BestClassifier
the Classifier with the best setup.


m_Values

Point<E> m_Values
the best values.


m_Evaluation

int m_Evaluation
the type of evaluation.


m_Generator

SetupGenerator m_Generator
for generating the search parameters.


m_SampleSize

double m_SampleSize
the sample size to search the initial space with.


m_LogFile

File m_LogFile
the log file to use.


m_Space

Space m_Space
the parameter space.


m_Cache

PerformanceCache m_Cache
the cache for points in the space that got calculated (raw points in space, not evaluated ones!).


m_UniformPerformance

boolean m_UniformPerformance
whether all performances in the space are the same.


m_FilteredClassifier

weka.classifiers.meta.FilteredClassifier m_FilteredClassifier
the filtered classifier to use, in case a filter is used.


m_DefaultParameters

AbstractParameter[] m_DefaultParameters
the default parameters.


m_InitialSpaceNumFolds

int m_InitialSpaceNumFolds
number of cross-validation folds in the initial space.


m_SubsequentSpaceNumFolds

int m_SubsequentSpaceNumFolds
number of cross-validation folds in the subsequent spaces.


m_NumExecutionSlots

int m_NumExecutionSlots
The number of threads to have executing at any one time.


m_Completed

int m_Completed
The number of setups completed so far.


m_Failed

int m_Failed
The number of setups that experienced a failure of some sort during construction.


m_NumSetups

int m_NumSetups
the number of setups to evaluate.


m_Performances

Vector<E> m_Performances
for storing the performances.

Class weka.classifiers.meta.PartitionedStacking extends weka.classifiers.ParallelMultipleClassifiersCombiner implements Serializable

serialVersionUID: -8282901622586083613L

Serialized Fields

m_MetaLevelClassifier

weka.classifiers.Classifier m_MetaLevelClassifier
the meta-level classifier.


m_Ranges

weka.core.Range[] m_Ranges
the attribute ranges for the base-classifiers.


m_Remove

weka.filters.unsupervised.attribute.Remove[] m_Remove
the filters for removing the unwanted attributes for the base classifiers.


m_MetaLevelData

weka.core.Instances m_MetaLevelData
the header for the meta-level data.

Class weka.classifiers.meta.PeakTransformed extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 2483812207638252172L

Serialized Fields

m_Header

weka.core.Instances m_Header
the header information of the transformed data.

Class weka.classifiers.meta.RandomCommittee extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: -9204394360557300092L

Serialized Fields

m_data

weka.core.Instances m_data

Class weka.classifiers.meta.RandomSubSpace extends weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer implements Serializable

serialVersionUID: 1278172513912424947L

Serialized Fields

m_SubSpaceSize

double m_SubSpaceSize

m_ZeroR

weka.classifiers.Classifier m_ZeroR

m_data

weka.core.Instances m_data

Class weka.classifiers.meta.RangeCheck extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 735384379601515402L

Serialized Fields

m_Ranges

Hashtable<K,V> m_Ranges
the ranges (attribute index <-> double[]).


m_Header

weka.core.Instances m_Header
the training header.

Class weka.classifiers.meta.RegressionByDiscretization extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 5066426153134050378L

Serialized Fields

m_Discretizer

weka.filters.unsupervised.attribute.Discretize m_Discretizer

m_NumBins

int m_NumBins

m_ClassMeans

double[] m_ClassMeans

m_ClassCounts

int[] m_ClassCounts

m_DeleteEmptyBins

boolean m_DeleteEmptyBins

m_OldIndexToNewIndex

int[] m_OldIndexToNewIndex

m_DiscretizedHeader

weka.core.Instances m_DiscretizedHeader

m_UseEqualFrequency

boolean m_UseEqualFrequency

m_MinimizeAbsoluteError

boolean m_MinimizeAbsoluteError

m_estimatorType

int m_estimatorType

m_OriginalTargetValues

double[] m_OriginalTargetValues

m_NewTargetValues

int[] m_NewTargetValues

Class weka.classifiers.meta.Stacking extends weka.classifiers.RandomizableParallelMultipleClassifiersCombiner implements Serializable

serialVersionUID: 5134738557155845452L

Serialized Fields

m_MetaClassifier

weka.classifiers.Classifier m_MetaClassifier

m_MetaFormat

weka.core.Instances m_MetaFormat

m_BaseFormat

weka.core.Instances m_BaseFormat

m_NumFolds

int m_NumFolds

Class weka.classifiers.meta.SubsetEnsemble extends weka.classifiers.RandomizableSingleClassifierEnhancer implements Serializable

serialVersionUID: -7637300579884789439L

Serialized Fields

m_Classifiers

weka.classifiers.Classifier[] m_Classifiers
the actual classifiers in use.


m_NumExecutionSlots

int m_NumExecutionSlots
The number of threads to have executing at any one time


m_CombinationRule

int m_CombinationRule
Combination Rule variable.


m_NumRandomFeatures

int m_NumRandomFeatures
the number of random features to use (in addition to base attribute).


m_Completed

int m_Completed
The number of classifiers completed so far


m_Failed

int m_Failed
The number of classifiers that experienced a failure of some sort during construction.


m_Data

weka.core.Instances m_Data
For holding the original training set temporarily.


m_Header

weka.core.Instances m_Header
The header of the training set.


m_BackupModel

weka.classifiers.rules.ZeroR m_BackupModel
The backup classifier, in case no ensemble could be constructed at prediction time.

Class weka.classifiers.meta.SumTransformed extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: 1233549562504476266L

Serialized Fields

m_Header

weka.core.Instances m_Header
the header information of the transformed data.

Class weka.classifiers.meta.Vote extends weka.classifiers.RandomizableMultipleClassifiersCombiner implements Serializable

serialVersionUID: -637891196294399624L

Serialized Fields

m_CombinationRule

int m_CombinationRule

m_Random

Random m_Random

m_classifiersToLoad

List<E> m_classifiersToLoad

m_preBuiltClassifiers

List<E> m_preBuiltClassifiers

Class weka.classifiers.meta.WeightedInstancesHandlerWrapper extends weka.classifiers.SingleClassifierEnhancer implements Serializable

serialVersionUID: -2789375910646576521L


Package weka.classifiers.meta.multisearch

Class weka.classifiers.meta.multisearch.Performance extends Object implements Serializable

serialVersionUID: -4374706475277588755L

Serialized Fields

m_Values

Point<E> m_Values
the values the filter/classifier were built with.


m_Evaluation

int m_Evaluation
the evaluation type.


m_CC

double m_CC
the Correlation coefficient.


m_RMSE

double m_RMSE
the Root mean squared error.


m_RRSE

double m_RRSE
the Root relative squared error.


m_MAE

double m_MAE
the Mean absolute error.


m_RAE

double m_RAE
the Relative absolute error.


m_ACC

double m_ACC
the Accuracy.


m_Kappa

double m_Kappa
the Kappa statistic.

Class weka.classifiers.meta.multisearch.PerformanceCache extends Object implements Serializable

serialVersionUID: 5838863230451530252L

Serialized Fields

m_Cache

Hashtable<K,V> m_Cache
the cache for points in the space that got calculated.

Class weka.classifiers.meta.multisearch.PerformanceComparator extends Object implements Serializable

serialVersionUID: 6507592831825393847L

Serialized Fields

m_Evaluation

int m_Evaluation
the performance measure to use for comparison.

See Also:
MultiSearch.TAGS_EVALUATION

Package weka.classifiers.trees

Class weka.classifiers.trees.DecisionStump extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 1618384535950391L

Serialized Fields

m_AttIndex

int m_AttIndex

m_SplitPoint

double m_SplitPoint

m_Distribution

double[][] m_Distribution

m_Instances

weka.core.Instances m_Instances

m_ZeroR

weka.classifiers.Classifier m_ZeroR

Class weka.classifiers.trees.J48 extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -217733168393644444L

Serialized Fields

m_root

weka.classifiers.trees.j48.ClassifierTree m_root

m_unpruned

boolean m_unpruned

m_collapseTree

boolean m_collapseTree

m_CF

float m_CF

m_minNumObj

int m_minNumObj

m_useMDLcorrection

boolean m_useMDLcorrection

m_useLaplace

boolean m_useLaplace

m_reducedErrorPruning

boolean m_reducedErrorPruning

m_numFolds

int m_numFolds

m_binarySplits

boolean m_binarySplits

m_subtreeRaising

boolean m_subtreeRaising

m_noCleanup

boolean m_noCleanup

m_Seed

int m_Seed

Class weka.classifiers.trees.LMT extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -1113212459618104943L

Serialized Fields

m_replaceMissing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing

m_nominalToBinary

weka.filters.supervised.attribute.NominalToBinary m_nominalToBinary

m_tree

weka.classifiers.trees.lmt.LMTNode m_tree

m_fastRegression

boolean m_fastRegression

m_convertNominal

boolean m_convertNominal

m_splitOnResiduals

boolean m_splitOnResiduals

m_errorOnProbabilities

boolean m_errorOnProbabilities

m_minNumInstances

int m_minNumInstances

m_numBoostingIterations

int m_numBoostingIterations

m_weightTrimBeta

double m_weightTrimBeta

m_useAIC

boolean m_useAIC

Class weka.classifiers.trees.M5P extends weka.classifiers.trees.m5.M5Base implements Serializable

serialVersionUID: -6118439039768244417L

Class weka.classifiers.trees.M5P2 extends M5Base2 implements Serializable

serialVersionUID: -6118439039768244417L

Class weka.classifiers.trees.RandomForest extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 4216839470751428698L

Serialized Fields

m_numTrees

int m_numTrees

m_numFeatures

int m_numFeatures

m_randomSeed

int m_randomSeed

m_KValue

int m_KValue

m_bagger

weka.classifiers.meta.Bagging m_bagger

m_MaxDepth

int m_MaxDepth

m_numExecutionSlots

int m_numExecutionSlots

m_printTrees

boolean m_printTrees

Class weka.classifiers.trees.RandomModelTrees extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID: -3131038090987633675L

Serialized Fields

m_node

weka.classifiers.trees.Node[] m_node

m_numIterations

int m_numIterations
The number of iterations.


m_max

int m_max

m_data

weka.core.Instances m_data

m_numTrials

int m_numTrials

m_ridge

double m_ridge

Class weka.classifiers.trees.RandomRegressionForest extends weka.classifiers.RandomizableClassifier implements Serializable

serialVersionUID: -3779643299723247400L

Serialized Fields

m_Node

RandomRegressionForest.Node[] m_Node
the generated nodes


m_NumIterations

int m_NumIterations
The number of iterations.


m_PLS

int m_PLS
the number of components to use in PLS


m_Min

int m_Min
the minimum number of instances in subsets


m_Data

weka.core.Instances m_Data
the original header


m_PLSFilter

weka.filters.supervised.attribute.PLSFilter m_PLSFilter
the PLS filter used internally


m_Mean

double m_Mean
the mean

Class weka.classifiers.trees.RandomRegressionForest.Node extends Object implements Serializable

serialVersionUID: -3856383120244210709L

Serialized Fields

m_SplitValue

double m_SplitValue

m_SplitIndex

int m_SplitIndex

m_LinearReg

weka.classifiers.functions.LinearRegression m_LinearReg

m_Less

RandomRegressionForest.Node m_Less

m_More

RandomRegressionForest.Node m_More

Class weka.classifiers.trees.RandomTree extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 8934314652175299374L

Serialized Fields

m_Successors

weka.classifiers.trees.RandomTree[] m_Successors

m_Attribute

int m_Attribute

m_SplitPoint

double m_SplitPoint

m_Info

weka.core.Instances m_Info

m_Prop

double[] m_Prop

m_ClassDistribution

double[] m_ClassDistribution

m_MinNum

double m_MinNum

m_KValue

int m_KValue

m_randomSeed

int m_randomSeed

m_MaxDepth

int m_MaxDepth

m_NumFolds

int m_NumFolds

m_AllowUnclassifiedInstances

boolean m_AllowUnclassifiedInstances

m_ZeroR

weka.classifiers.Classifier m_ZeroR

Class weka.classifiers.trees.REPTree extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -9216785998198681299L

Serialized Fields

m_zeroR

weka.classifiers.rules.ZeroR m_zeroR

m_Tree

weka.classifiers.trees.REPTree.Tree m_Tree

m_NumFolds

int m_NumFolds

m_Seed

int m_Seed

m_NoPruning

boolean m_NoPruning

m_MinNum

double m_MinNum

m_MinVarianceProp

double m_MinVarianceProp

m_MaxDepth

int m_MaxDepth

m_InitialCount

double m_InitialCount

m_SpreadInitialCount

boolean m_SpreadInitialCount

Class weka.classifiers.trees.REPTree.Tree extends Object implements Serializable

serialVersionUID: -1635481717888437935L

Serialized Fields

m_Info

weka.core.Instances m_Info

m_Successors

weka.classifiers.trees.REPTree.Tree[] m_Successors

m_Attribute

int m_Attribute

m_SplitPoint

double m_SplitPoint

m_Prop

double[] m_Prop

m_ClassProbs

double[] m_ClassProbs

m_Distribution

double[] m_Distribution

m_HoldOutDist

double[] m_HoldOutDist

m_HoldOutError

double m_HoldOutError

Package weka.classifiers.trees.m5

Class weka.classifiers.trees.m5.CorrelationSplitInfo extends Object implements Serializable

serialVersionUID: 4212734895125452770L

Serialized Fields

m_first

int m_first

m_last

int m_last

m_position

int m_position

m_maxImpurity

double m_maxImpurity

m_splitAttr

int m_splitAttr

m_splitValue

double m_splitValue

m_number

int m_number

Class weka.classifiers.trees.m5.M5Base extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -4022221950191647679L

Serialized Fields

m_instances

weka.core.Instances m_instances

m_ruleSet

weka.core.FastVector<E> m_ruleSet

m_generateRules

boolean m_generateRules

m_unsmoothedPredictions

boolean m_unsmoothedPredictions

m_replaceMissing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing

m_nominalToBinary

weka.filters.supervised.attribute.NominalToBinary m_nominalToBinary

m_removeUseless

weka.filters.unsupervised.attribute.RemoveUseless m_removeUseless

m_saveInstances

boolean m_saveInstances

m_regressionTree

boolean m_regressionTree

m_useUnpruned

boolean m_useUnpruned

m_minNumInstances

double m_minNumInstances

Class weka.classifiers.trees.m5.M5Base2 extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: -4022221950191647679L

Serialized Fields

m_instances

weka.core.Instances m_instances
the instances covered by the tree/rules


m_ruleSet

weka.core.FastVector<E> m_ruleSet
the rule set


m_generateRules

boolean m_generateRules
generate a decision list instead of a single tree.


m_unsmoothedPredictions

boolean m_unsmoothedPredictions
use unsmoothed predictions


m_replaceMissing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_replaceMissing
filter to fill in missing values


m_nominalToBinary

weka.filters.supervised.attribute.NominalToBinary m_nominalToBinary
filter to convert nominal attributes to binary


m_removeUseless

weka.filters.unsupervised.attribute.RemoveUseless m_removeUseless
for removing useless attributes


m_saveInstances

boolean m_saveInstances
Save instances at each node in an M5 tree for visualization purposes.


m_regressionTree

boolean m_regressionTree
Make a regression tree/rule instead of a model tree/rule


m_useUnpruned

boolean m_useUnpruned
Do not prune tree/rules


m_minNumInstances

double m_minNumInstances
The minimum number of instances to allow at a leaf node

Class weka.classifiers.trees.m5.PreConstructedLinearModel extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 2030974097051713247L

Serialized Fields

m_coefficients

double[] m_coefficients

m_intercept

double m_intercept

m_instancesHeader

weka.core.Instances m_instancesHeader

m_numParameters

int m_numParameters

Class weka.classifiers.trees.m5.Rule extends Object implements Serializable

serialVersionUID: -4458627451682483204L

Serialized Fields

m_instances

weka.core.Instances m_instances

m_classIndex

int m_classIndex

m_numAttributes

int m_numAttributes

m_numInstances

int m_numInstances

m_splitAtts

int[] m_splitAtts

m_splitVals

double[] m_splitVals

m_internalNodes

weka.classifiers.trees.m5.RuleNode[] m_internalNodes

m_relOps

int[] m_relOps

m_ruleModel

weka.classifiers.trees.m5.RuleNode m_ruleModel

m_topOfTree

weka.classifiers.trees.m5.RuleNode m_topOfTree

m_globalStdDev

double m_globalStdDev

m_globalAbsDev

double m_globalAbsDev

m_covered

weka.core.Instances m_covered

m_numCovered

int m_numCovered

m_notCovered

weka.core.Instances m_notCovered

m_useTree

boolean m_useTree

m_smoothPredictions

boolean m_smoothPredictions

m_saveInstances

boolean m_saveInstances

m_regressionTree

boolean m_regressionTree

m_useUnpruned

boolean m_useUnpruned

m_minNumInstances

double m_minNumInstances

Class weka.classifiers.trees.m5.Rule2 extends Object implements Serializable

serialVersionUID: -4458627451682483204L

Serialized Fields

m_instances

weka.core.Instances m_instances
the instances covered by this rule


m_classIndex

int m_classIndex
the class index


m_numAttributes

int m_numAttributes
the number of attributes


m_numInstances

int m_numInstances
the number of instances in the dataset


m_splitAtts

int[] m_splitAtts
the indexes of the attributes used to split on for this rule


m_splitVals

double[] m_splitVals
the corresponding values of the split points


m_internalNodes

RuleNode2[] m_internalNodes
the corresponding internal nodes. Used for smoothing rules.


m_relOps

int[] m_relOps
the corresponding relational operators (0 = "<=", 1 = ">")


m_ruleModel

RuleNode2 m_ruleModel
the leaf encapsulating the linear model for this rule


m_topOfTree

RuleNode2 m_topOfTree
the top of the m5 tree for this rule


m_globalStdDev

double m_globalStdDev
the standard deviation of the class for all the instances


m_globalAbsDev

double m_globalAbsDev
the absolute deviation of the class for all the instances


m_covered

weka.core.Instances m_covered
the instances covered by this rule


m_numCovered

int m_numCovered
the number of instances covered by this rule


m_notCovered

weka.core.Instances m_notCovered
the instances not covered by this rule


m_useTree

boolean m_useTree
use a pruned m5 tree rather than make a rule


m_smoothPredictions

boolean m_smoothPredictions
use the original m5 smoothing procedure


m_saveInstances

boolean m_saveInstances
Save instances at each node in an M5 tree for visualization purposes.


m_regressionTree

boolean m_regressionTree
Make a regression tree instead of a model tree


m_useUnpruned

boolean m_useUnpruned
Build unpruned tree/rule


m_minNumInstances

double m_minNumInstances
The minimum number of instances to allow at a leaf node

Class weka.classifiers.trees.m5.RuleNode extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 1979807611124337144L

Serialized Fields

m_instances

weka.core.Instances m_instances

m_classIndex

int m_classIndex

m_numInstances

int m_numInstances

m_numAttributes

int m_numAttributes

m_isLeaf

boolean m_isLeaf

m_splitAtt

int m_splitAtt

m_splitValue

double m_splitValue

m_nodeModel

weka.classifiers.trees.m5.PreConstructedLinearModel m_nodeModel

m_numParameters

int m_numParameters

m_rootMeanSquaredError

double m_rootMeanSquaredError

m_left

weka.classifiers.trees.m5.RuleNode m_left

m_right

weka.classifiers.trees.m5.RuleNode m_right

m_parent

weka.classifiers.trees.m5.RuleNode m_parent

m_splitNum

double m_splitNum

m_devFraction

double m_devFraction

m_pruningMultiplier

double m_pruningMultiplier

m_leafModelNum

int m_leafModelNum

m_globalDeviation

double m_globalDeviation

m_globalAbsDeviation

double m_globalAbsDeviation

m_indices

int[] m_indices

m_id

int m_id

m_saveInstances

boolean m_saveInstances

m_regressionTree

boolean m_regressionTree

Class weka.classifiers.trees.m5.RuleNode2 extends weka.classifiers.AbstractClassifier implements Serializable

serialVersionUID: 1979807611124337144L

Serialized Fields

m_instances

weka.core.Instances m_instances
instances reaching this node


m_classIndex

int m_classIndex
the class index


m_numInstances

int m_numInstances
the number of instances reaching this node


m_numAttributes

int m_numAttributes
the number of attributes


m_isLeaf

boolean m_isLeaf
Node is a leaf


m_splitAtt

int m_splitAtt
attribute this node splits on


m_splitValue

double m_splitValue
the value of the split attribute


m_nodeModel

weka.classifiers.trees.m5.PreConstructedLinearModel m_nodeModel
the linear model at this node


m_numParameters

int m_numParameters
the number of paramters in the chosen model for this node---either the subtree model or the linear model. The constant term is counted as a paramter---this is for pruning purposes


m_rootMeanSquaredError

double m_rootMeanSquaredError
the mean squared error of the model at this node (either linear or subtree)


m_left

RuleNode2 m_left
left child node


m_right

RuleNode2 m_right
right child node


m_parent

RuleNode2 m_parent
the parent of this node


m_splitNum

double m_splitNum
a node will not be split if it contains less then m_splitNum instances


m_devFraction

double m_devFraction
a node will not be split if its class standard deviation is less than 5% of the class standard deviation of all the instances


m_pruningMultiplier

double m_pruningMultiplier

m_leafModelNum

int m_leafModelNum
the number assigned to the linear model if this node is a leaf. = 0 if this node is not a leaf


m_globalDeviation

double m_globalDeviation
a node will not be split if the class deviation of its instances is less than m_devFraction of the deviation of the global class


m_globalAbsDeviation

double m_globalAbsDeviation
the absolute deviation of the global class


m_indices

int[] m_indices
Indices of the attributes to be used in generating a linear model at this node


m_id

int m_id
Node id.


m_saveInstances

boolean m_saveInstances
Save the instances at each node (for visualizing in the Explorer's treevisualizer.


m_regressionTree

boolean m_regressionTree
Make a regression tree instead of a model tree

Class weka.classifiers.trees.m5.YongSplitInfo extends Object implements Serializable

serialVersionUID: 1864267581079767881L

Serialized Fields

number

int number

first

int first

last

int last

position

int position

maxImpurity

double maxImpurity

leftAve

double leftAve

rightAve

double rightAve

splitAttr

int splitAttr

splitValue

double splitValue

Package weka.core

Class weka.core.AbstractHashableInstance extends Object implements Serializable

serialVersionUID: -7852430972984310506L

Serialized Fields

m_HashCode

Integer m_HashCode
the current hashcode.


m_Data

weka.core.Instance m_Data
the wrapped instance.


m_ExcludeClass

boolean m_ExcludeClass
whether to exclude the class from the hashcode.


m_ExcludeWeight

boolean m_ExcludeWeight
whether to exclude the weight from the hashcode.

Class weka.core.AbstractInstance extends Object implements Serializable

serialVersionUID: 1482635194499365155L

Serialized Fields

m_Dataset

weka.core.Instances m_Dataset

m_AttValues

double[] m_AttValues

m_Weight

double m_Weight

Class weka.core.AlgVector extends Object implements Serializable

serialVersionUID: -4023736016850256591L

Serialized Fields

m_Elements

double[] m_Elements

Class weka.core.Attribute extends Object implements Serializable

serialVersionUID: -742180568732916383L

Serialized Fields

m_Name

String m_Name

m_Type

int m_Type

m_Values

ArrayList<E> m_Values

m_Hashtable

Hashtable<K,V> m_Hashtable

m_Header

weka.core.Instances m_Header

m_DateFormat

SimpleDateFormat m_DateFormat

m_Index

int m_Index

m_Metadata

weka.core.ProtectedProperties m_Metadata

m_Ordering

int m_Ordering

m_IsRegular

boolean m_IsRegular

m_IsAveragable

boolean m_IsAveragable

m_HasZeropoint

boolean m_HasZeropoint

m_Weight

double m_Weight

m_LowerBound

double m_LowerBound

m_LowerBoundIsOpen

boolean m_LowerBoundIsOpen

m_UpperBound

double m_UpperBound

m_UpperBoundIsOpen

boolean m_UpperBoundIsOpen

Class weka.core.AttributeExpression extends Object implements Serializable

serialVersionUID: 402130123261736245L

Serialized Fields

m_operatorStack

Stack<E> m_operatorStack

m_originalInfix

String m_originalInfix

m_postFixExpVector

Vector<E> m_postFixExpVector

m_signMod

boolean m_signMod

m_previousTok

String m_previousTok

Class weka.core.AttributeLocator extends Object implements Serializable

serialVersionUID: -2932848827681070345L

Serialized Fields

m_AllowedIndices

int[] m_AllowedIndices

m_Attributes

Vector<E> m_Attributes

m_Locators

Vector<E> m_Locators

m_Type

int m_Type

m_Data

weka.core.Instances m_Data

m_Indices

int[] m_Indices

m_LocatorIndices

int[] m_LocatorIndices

Class weka.core.AttributeStats extends Object implements Serializable

serialVersionUID: 4434688832743939380L

Serialized Fields

intCount

int intCount

realCount

int realCount

missingCount

int missingCount

distinctCount

int distinctCount

uniqueCount

int uniqueCount

totalCount

int totalCount

numericStats

weka.experiment.Stats numericStats

nominalCounts

int[] nominalCounts

nominalWeights

double[] nominalWeights

Class weka.core.BinarySparseInstance extends weka.core.SparseInstance implements Serializable

serialVersionUID: -5297388762342528737L

Class weka.core.Capabilities extends Object implements Serializable

serialVersionUID: -5478590032325567849L

Serialized Fields

m_Owner

weka.core.CapabilitiesHandler m_Owner

m_Capabilities

HashSet<E> m_Capabilities

m_Dependencies

HashSet<E> m_Dependencies

m_FailReason

Exception m_FailReason

m_MinimumNumberInstances

int m_MinimumNumberInstances

m_Test

boolean m_Test

m_InstancesTest

boolean m_InstancesTest

m_AttributeTest

boolean m_AttributeTest

m_MissingValuesTest

boolean m_MissingValuesTest

m_MissingClassValuesTest

boolean m_MissingClassValuesTest

m_MinimumNumberInstancesTest

boolean m_MinimumNumberInstancesTest

Class weka.core.ChebyshevDistance extends weka.core.NormalizableDistance implements Serializable

serialVersionUID: -7739904999895461429L

Class weka.core.Debug extends Object implements Serializable

serialVersionUID: 66171861743328020L

Serialized Fields

m_Enabled

boolean m_Enabled

m_Log

weka.core.Debug.Log m_Log

m_Clock

weka.core.Debug.Clock m_Clock

Class weka.core.Debug.Clock extends Object implements Serializable

serialVersionUID: 4622161807307942201L

Serialized Fields

m_OutputFormat

int m_OutputFormat

m_Start

long m_Start

m_Stop

long m_Stop

m_Running

boolean m_Running

m_ThreadID

long m_ThreadID

m_CanMeasureCpuTime

boolean m_CanMeasureCpuTime

m_UseCpuTime

boolean m_UseCpuTime

Class weka.core.Debug.DBO extends Object implements Serializable

serialVersionUID: -5245628124742606784L

Serialized Fields

m_verboseOn

boolean m_verboseOn

m_outputTypes

weka.core.Range m_outputTypes

Class weka.core.Debug.Log extends Object implements Serializable

serialVersionUID: 1458435732111675823L

Serialized Fields

m_Filename

String m_Filename

m_Size

int m_Size

m_NumFiles

int m_NumFiles

m_LoggerInitFailed

boolean m_LoggerInitFailed

Class weka.core.Debug.Random extends Random implements Serializable

serialVersionUID: 1256846887618333956L

Serialized Fields

m_Debug

boolean m_Debug

m_ID

long m_ID

m_Log

weka.core.Debug.Log m_Log

Class weka.core.Debug.SimpleLog extends Object implements Serializable

serialVersionUID: -2671928223819510830L

Serialized Fields

m_Filename

String m_Filename

Class weka.core.Debug.Timestamp extends Object implements Serializable

serialVersionUID: -6099868388466922753L

Serialized Fields

m_Stamp

Date m_Stamp

m_Format

String m_Format

m_Formatter

SimpleDateFormat m_Formatter

Class weka.core.DenseInstance extends weka.core.AbstractInstance implements Serializable

serialVersionUID: 1482635194499365122L

Class weka.core.EuclideanDistance extends weka.core.NormalizableDistance implements Serializable

serialVersionUID: 1068606253458807903L

Class weka.core.FastVector extends ArrayList<E> implements Serializable

serialVersionUID: -2173635135622930169L

Class weka.core.HashableInstanceUsingString extends AbstractHashableInstance implements Serializable

serialVersionUID: -3580405212034106182L

Class weka.core.HashableInstanceUsingSum extends AbstractHashableInstance implements Serializable

serialVersionUID: -2947327008088220713L

Class weka.core.InstanceComparator extends Object implements Serializable

serialVersionUID: -6589278678230949683L

Serialized Fields

m_IncludeClass

boolean m_IncludeClass

m_Range

weka.core.Range m_Range

Class weka.core.Instances extends AbstractList<weka.core.Instance> implements Serializable

serialVersionUID: -19412345060742748L

Serialized Fields

m_RelationName

String m_RelationName

m_Attributes

ArrayList<E> m_Attributes

m_Instances

ArrayList<E> m_Instances

m_ClassIndex

int m_ClassIndex

m_Lines

int m_Lines

Class weka.core.ManhattanDistance extends weka.core.NormalizableDistance implements Serializable

serialVersionUID: 6783782554224000243L

Class weka.core.Matrix extends Object implements Serializable

serialVersionUID: -3604757095849145838L

Serialized Fields

m_Matrix

weka.core.matrix.Matrix m_Matrix

Class weka.core.MinkowskiDistance extends weka.core.NormalizableDistance implements Serializable

serialVersionUID: -7446019339455453893L

Serialized Fields

m_Order

double m_Order

Class weka.core.NormalizableDistance extends Object implements Serializable

Serialized Fields

m_Data

weka.core.Instances m_Data

m_DontNormalize

boolean m_DontNormalize

m_Ranges

double[][] m_Ranges

m_AttributeIndices

weka.core.Range m_AttributeIndices

m_ActiveIndices

boolean[] m_ActiveIndices

m_Validated

boolean m_Validated

Class weka.core.NoSupportForMissingValuesException extends weka.core.WekaException implements Serializable

serialVersionUID: 5161175307725893973L

Class weka.core.ProtectedProperties extends Properties implements Serializable

serialVersionUID: 3876658672657323985L

Serialized Fields

closed

boolean closed

Class weka.core.Queue extends Object implements Serializable

serialVersionUID: -1141282001146389780L

Serialized Fields

m_Head

weka.core.Queue.QueueNode m_Head

m_Tail

weka.core.Queue.QueueNode m_Tail

m_Size

int m_Size

Class weka.core.Queue.QueueNode extends Object implements Serializable

serialVersionUID: -5119358279412097455L

Serialized Fields

m_Next

weka.core.Queue.QueueNode m_Next

m_Contents

Object m_Contents

Class weka.core.RandomVariates extends Random implements Serializable

serialVersionUID: -4763742718209460354L

Class weka.core.Range extends Object implements Serializable

serialVersionUID: 3667337062176835900L

Serialized Fields

m_RangeStrings

Vector<E> m_RangeStrings

m_Invert

boolean m_Invert

m_SelectFlags

boolean[] m_SelectFlags

m_Upper

int m_Upper

Class weka.core.RelationalLocator extends weka.core.AttributeLocator implements Serializable

serialVersionUID: 4646872277151854732L

Class weka.core.SAXDistance extends weka.core.NormalizableDistance implements Serializable

serialVersionUID: 2677863364387767459L

Serialized Fields

m_norm

weka.filters.unsupervised.attribute.Normalize m_norm
suid.


m_bins

int m_bins
number of gaussian bins. (labels)


m_n

int m_n
pre-sax number of attributes.


m_distMatrix

double[][] m_distMatrix

Class weka.core.SerializedObject extends Object implements Serializable

serialVersionUID: 6635502953928860434L

Serialized Fields

m_storedObjectArray

byte[] m_storedObjectArray

m_isCompressed

boolean m_isCompressed

m_isJython

boolean m_isJython

Class weka.core.SetupGenerator extends Object implements Serializable

serialVersionUID: 7683008589774888142L

Serialized Fields

m_BaseObject

Serializable m_BaseObject
base object.


m_Parameters

AbstractParameter[] m_Parameters
the parameters.


m_Initialized

boolean m_Initialized
whether everything has been initialized.


m_Space

Space m_Space
the parameter space to use for obtaining the setups from.

Class weka.core.SingleIndex extends Object implements Serializable

serialVersionUID: 5285169134430839303L

Serialized Fields

m_IndexString

String m_IndexString

m_SelectedIndex

int m_SelectedIndex

m_Upper

int m_Upper

Class weka.core.SparseInstance extends weka.core.AbstractInstance implements Serializable

serialVersionUID: -3579051291332630149L

Serialized Fields

m_Indices

int[] m_Indices

m_NumAttributes

int m_NumAttributes

Class weka.core.StringLocator extends weka.core.AttributeLocator implements Serializable

serialVersionUID: 7805522230268783972L

Class weka.core.Tag extends Object implements Serializable

serialVersionUID: 3326379903447135320L

Serialized Fields

m_ID

int m_ID

m_IDStr

String m_IDStr

m_Readable

String m_Readable

Class weka.core.TestInstances extends Object implements Serializable

serialVersionUID: -6263968936330390469L

Serialized Fields

m_Words

String[] m_Words

m_WordSeparators

String m_WordSeparators

m_Relation

String m_Relation

m_Seed

int m_Seed

m_Random

Random m_Random

m_NumInstances

int m_NumInstances

m_ClassType

int m_ClassType

m_NumClasses

int m_NumClasses

m_ClassIndex

int m_ClassIndex

m_NumNominal

int m_NumNominal

m_NumNominalValues

int m_NumNominalValues

m_NumNumeric

int m_NumNumeric

m_NumString

int m_NumString

m_NumDate

int m_NumDate

m_NumRelational

int m_NumRelational

m_NumRelationalNominal

int m_NumRelationalNominal

m_NumRelationalNominalValues

int m_NumRelationalNominalValues

m_NumRelationalNumeric

int m_NumRelationalNumeric

m_NumRelationalString

int m_NumRelationalString

m_NumRelationalDate

int m_NumRelationalDate

m_MultiInstance

boolean m_MultiInstance

m_NumInstancesRelational

int m_NumInstancesRelational

m_RelationalFormat

weka.core.Instances[] m_RelationalFormat

m_RelationalClassFormat

weka.core.Instances m_RelationalClassFormat

m_Data

weka.core.Instances m_Data

m_Handler

weka.core.CapabilitiesHandler m_Handler

Class weka.core.Trie extends Object implements Serializable

serialVersionUID: -5897980928817779048L

Serialized Fields

m_Root

weka.core.Trie.TrieNode m_Root

m_HashCode

int m_HashCode

m_RecalcHashCode

boolean m_RecalcHashCode

Class weka.core.Trie.TrieNode extends DefaultMutableTreeNode implements Serializable

serialVersionUID: -2252907099391881148L

Serialized Fields

m_Children

Hashtable<K,V> m_Children

Class weka.core.UnassignedClassException extends RuntimeException implements Serializable

serialVersionUID: 6268278694768818235L

Class weka.core.UnassignedDatasetException extends RuntimeException implements Serializable

serialVersionUID: -9000116786626328854L

Class weka.core.UnsupportedAttributeTypeException extends weka.core.WekaException implements Serializable

serialVersionUID: 2658987325328414838L

Class weka.core.UnsupportedClassTypeException extends weka.core.WekaException implements Serializable

serialVersionUID: 5175741076972192151L

Class weka.core.WeightedEuclideanDistance extends weka.core.NormalizableDistance implements Serializable

serialVersionUID: -8518647249857218705L

Serialized Fields

m_Coefficients

double[] m_Coefficients
Array for storing coefficients of linear regression.


m_LR

weka.classifiers.functions.LinearRegression m_LR

m_norm

weka.filters.unsupervised.attribute.Normalize m_norm

Class weka.core.WekaException extends Exception implements Serializable

serialVersionUID: 6428269989006208585L


Package weka.core.neighboursearch

Class weka.core.neighboursearch.BallTree extends weka.core.neighboursearch.NearestNeighbourSearch implements Serializable

serialVersionUID: 728763855952698328L

Serialized Fields

m_InstList

int[] m_InstList

m_MaxInstancesInLeaf

int m_MaxInstancesInLeaf

m_TreeStats

weka.core.neighboursearch.TreePerformanceStats m_TreeStats

m_Root

weka.core.neighboursearch.balltrees.BallNode m_Root

m_TreeConstructor

weka.core.neighboursearch.balltrees.BallTreeConstructor m_TreeConstructor

m_Distances

double[] m_Distances

Class weka.core.neighboursearch.CoverTree extends weka.core.neighboursearch.NearestNeighbourSearch implements Serializable

serialVersionUID: 7617412821497807586L

Serialized Fields

m_EuclideanDistance

weka.core.EuclideanDistance m_EuclideanDistance

m_Root

weka.core.neighboursearch.CoverTree.CoverTreeNode m_Root

m_DistanceList

double[] m_DistanceList

m_NumNodes

int m_NumNodes

m_NumLeaves

int m_NumLeaves

m_MaxDepth

int m_MaxDepth

m_TreeStats

weka.core.neighboursearch.TreePerformanceStats m_TreeStats

m_Base

double m_Base

il2

double il2

Class weka.core.neighboursearch.CoverTree.CoverTreeNode extends Object implements Serializable

serialVersionUID: 1808760031169036512L

Serialized Fields

nodeid

int nodeid

idx

Integer idx

max_dist

double max_dist

parent_dist

double parent_dist

children

weka.core.neighboursearch.covertrees.Stack<T> children

num_children

int num_children

scale

int scale

Class weka.core.neighboursearch.FilteredSearch extends TransformNNSearch implements Serializable

serialVersionUID: -7892640764629075977L

Serialized Fields

m_Filter

weka.filters.Filter m_Filter
The filter

Class weka.core.neighboursearch.KDTree extends weka.core.neighboursearch.NearestNeighbourSearch implements Serializable

serialVersionUID: 1505717283763272533L

Serialized Fields

m_DistanceList

double[] m_DistanceList

m_InstList

int[] m_InstList

m_Root

weka.core.neighboursearch.kdtrees.KDTreeNode m_Root

m_Splitter

weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter m_Splitter

m_NumNodes

int m_NumNodes

m_NumLeaves

int m_NumLeaves

m_MaxDepth

int m_MaxDepth

m_TreeStats

weka.core.neighboursearch.TreePerformanceStats m_TreeStats

m_NormalizeNodeWidth

boolean m_NormalizeNodeWidth

m_EuclideanDistance

weka.core.EuclideanDistance m_EuclideanDistance

m_MinBoxRelWidth

double m_MinBoxRelWidth

m_MaxInstInLeaf

int m_MaxInstInLeaf

Class weka.core.neighboursearch.LinearNNSearch extends weka.core.neighboursearch.NearestNeighbourSearch implements Serializable

serialVersionUID: 1915484723703917241L

Serialized Fields

m_Distances

double[] m_Distances

m_SkipIdentical

boolean m_SkipIdentical

Class weka.core.neighboursearch.NearestNeighbourSearch extends Object implements Serializable

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_kNN

int m_kNN

m_DistanceFunction

weka.core.DistanceFunction m_DistanceFunction

m_Stats

weka.core.neighboursearch.PerformanceStats m_Stats

m_MeasurePerformance

boolean m_MeasurePerformance

Class weka.core.neighboursearch.NewNNSearch extends weka.core.neighboursearch.NearestNeighbourSearch implements Serializable

serialVersionUID: 1915484723703917241L

Serialized Fields

m_Distances

double[] m_Distances
Array holding the distances of the nearest neighbours. It is filled up both by nearestNeighbour() and kNearestNeighbours().


m_SkipIdentical

boolean m_SkipIdentical
Whether to skip instances from the neighbours that are identical to the query instance.


m_neighbours

SortedList<T extends Serializable> m_neighbours

Class weka.core.neighboursearch.NewNNSearch.InstanceNode extends Object implements Serializable

Serialized Fields

instance_index

int instance_index

distance

Double distance

Class weka.core.neighboursearch.PCANNSearch extends NewNNSearch implements Serializable

serialVersionUID: 1915484723703917241L

Serialized Fields

m_pca

weka.filters.unsupervised.attribute.PrincipalComponents m_pca
The neighbourhood of instances to find neighbours in.


m_CoverVariance

double m_CoverVariance
the amount of varaince to cover in the original data when retaining the best n PC's.


m_MaxAttrsInName

int m_MaxAttrsInName
maximum number of attributes in the transformed attribute name.


m_myInstances

weka.core.Instances m_myInstances

m_Preprocessing

int m_Preprocessing
the type of preprocessing

Class weka.core.neighboursearch.PerformanceStats extends Object implements Serializable

serialVersionUID: -7215110351388368092L

Serialized Fields

m_NumQueries

int m_NumQueries

m_MinP

double m_MinP

m_MaxP

double m_MaxP

m_SumP

double m_SumP

m_SumSqP

double m_SumSqP

m_PointCount

double m_PointCount

m_MinC

double m_MinC

m_MaxC

double m_MaxC

m_SumC

double m_SumC

m_SumSqC

double m_SumSqC

m_CoordCount

double m_CoordCount

Class weka.core.neighboursearch.PLSNNSearch extends TransformNNSearch implements Serializable

serialVersionUID: 1915484723703917241L

Serialized Fields

m_plsfilter

weka.filters.supervised.attribute.PLSFilter m_plsfilter
The neighbourhood of instances to find neighbours in.


mNumComponents

int mNumComponents

m_Preprocessing

int m_Preprocessing
the type of preprocessing

Class weka.core.neighboursearch.TransformNNSearch extends NewNNSearch implements Serializable

Serialized Fields

m_myInstances

weka.core.Instances m_myInstances
Transformed instances.

Class weka.core.neighboursearch.TreePerformanceStats extends weka.core.neighboursearch.PerformanceStats implements Serializable

serialVersionUID: -6637636693340810373L

Serialized Fields

m_MinLeaves

int m_MinLeaves

m_MaxLeaves

int m_MaxLeaves

m_SumLeaves

int m_SumLeaves

m_SumSqLeaves

int m_SumSqLeaves

m_LeafCount

int m_LeafCount

m_MinIntNodes

int m_MinIntNodes

m_MaxIntNodes

int m_MaxIntNodes

m_SumIntNodes

int m_SumIntNodes

m_SumSqIntNodes

int m_SumSqIntNodes

m_IntNodeCount

int m_IntNodeCount

Package weka.core.setupgenerator

Class weka.core.setupgenerator.AbstractParameter extends Object implements Serializable

serialVersionUID: -941906920843843404L

Serialized Fields

m_Property

String m_Property
the property to test.

Class weka.core.setupgenerator.ListParameter extends AbstractParameter implements Serializable

serialVersionUID: 1415901739037349037L

Serialized Fields

m_List

String[] m_List
the explicit list of values to use.

Class weka.core.setupgenerator.MathParameter extends AbstractParameter implements Serializable

serialVersionUID: 6430400142112674316L

Serialized Fields

m_Min

double m_Min
the minimum.


m_Max

double m_Max
the maximum.


m_Step

double m_Step
the step.


m_Base

double m_Base
the base.


m_Expression

String m_Expression
The expression for the property. Available parameters for the expression:

See Also:
MathematicalExpression, MathExpression

Class weka.core.setupgenerator.Point extends Object implements Serializable

serialVersionUID: 1061326306122503731L

Serialized Fields

m_Values

Object[] m_Values
the values in the various dimensions.

Class weka.core.setupgenerator.Space extends Object implements Serializable

serialVersionUID: -481830810204401148L

Serialized Fields

m_Dimensions

SpaceDimension[] m_Dimensions
the dimensions.

Class weka.core.setupgenerator.SpaceDimension extends Object implements Serializable

serialVersionUID: -7709016830854739486L

Serialized Fields

m_Type

int m_Type
the type of dimension.


m_Min

double m_Min
the minimum on the axis.


m_Max

double m_Max
the maximum on the axis.


m_Step

double m_Step
the step size for the axis.


m_Label

String m_Label
the label for the axis.


m_Width

int m_Width
the number of points on the axis.


m_List

String[] m_List
the underlying list of values.


Package weka.experiment

Class weka.experiment.AveragingResultProducer extends Object implements Serializable

serialVersionUID: 2551284958501991352L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_ResultProducer

weka.experiment.ResultProducer m_ResultProducer

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_ExpectedResultsPerAverage

int m_ExpectedResultsPerAverage

m_CalculateStdDevs

boolean m_CalculateStdDevs

m_CountFieldName

String m_CountFieldName

m_KeyFieldName

String m_KeyFieldName

m_KeyIndex

int m_KeyIndex

m_Keys

weka.core.FastVector<E> m_Keys

m_Results

weka.core.FastVector<E> m_Results

Class weka.experiment.ClassifierSplitEvaluator extends Object implements Serializable

serialVersionUID: -8511241602760467265L

Serialized Fields

m_Template

weka.classifiers.Classifier m_Template

m_Classifier

weka.classifiers.Classifier m_Classifier

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_doesProduce

boolean[] m_doesProduce

m_numberAdditionalMeasures

int m_numberAdditionalMeasures

m_result

String m_result

m_ClassifierOptions

String m_ClassifierOptions

m_ClassifierVersion

String m_ClassifierVersion

m_IRclass

int m_IRclass

m_predTargetColumn

boolean m_predTargetColumn

m_attID

int m_attID

m_NoSizeDetermination

boolean m_NoSizeDetermination

Class weka.experiment.CostSensitiveClassifierSplitEvaluator extends weka.experiment.ClassifierSplitEvaluator implements Serializable

serialVersionUID: -8069566663019501276L

Serialized Fields

m_OnDemandDirectory

File m_OnDemandDirectory

Class weka.experiment.CrossValidationResultProducer extends Object implements Serializable

serialVersionUID: -1580053925080091917L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_NumFolds

int m_NumFolds

m_debugOutput

boolean m_debugOutput

m_ZipDest

weka.experiment.OutputZipper m_ZipDest

m_OutputFile

File m_OutputFile

m_SplitEvaluator

weka.experiment.SplitEvaluator m_SplitEvaluator

m_AdditionalMeasures

String[] m_AdditionalMeasures

Class weka.experiment.CrossValidationSplitResultProducer extends weka.experiment.CrossValidationResultProducer implements Serializable

serialVersionUID: 1403798164046795073L

Class weka.experiment.CSVResultListener extends Object implements Serializable

serialVersionUID: -623185072785174658L

Serialized Fields

m_RP

weka.experiment.ResultProducer m_RP

m_OutputFile

File m_OutputFile

m_OutputFileName

String m_OutputFileName

Class weka.experiment.DatabaseResultListener extends weka.experiment.DatabaseUtils implements Serializable

serialVersionUID: 7388014746954652818L

Serialized Fields

m_ResultProducer

weka.experiment.ResultProducer m_ResultProducer

m_ResultsTableName

String m_ResultsTableName

m_Debug

boolean m_Debug

m_CacheKeyName

String m_CacheKeyName

m_CacheKeyIndex

int m_CacheKeyIndex

m_CacheKey

Object[] m_CacheKey

m_Cache

weka.core.FastVector<E> m_Cache

Class weka.experiment.DatabaseResultProducer extends weka.experiment.DatabaseResultListener implements Serializable

serialVersionUID: -5620660780203158666L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_ResultProducer

weka.experiment.ResultProducer m_ResultProducer

m_AdditionalMeasures

String[] m_AdditionalMeasures

Class weka.experiment.DatabaseUtils extends Object implements Serializable

serialVersionUID: -8252351994547116729L

Serialized Fields

DRIVERS

Vector<E> DRIVERS

PROPERTIES

Properties PROPERTIES

m_DatabaseURL

String m_DatabaseURL

m_Debug

boolean m_Debug

m_userName

String m_userName

m_password

String m_password

m_stringType

String m_stringType

m_intType

String m_intType

m_doubleType

String m_doubleType

m_checkForUpperCaseNames

boolean m_checkForUpperCaseNames

m_checkForLowerCaseNames

boolean m_checkForLowerCaseNames

m_setAutoCommit

boolean m_setAutoCommit

m_createIndex

boolean m_createIndex

m_Keywords

HashSet<E> m_Keywords

m_KeywordsMaskChar

String m_KeywordsMaskChar

Class weka.experiment.DensityBasedClustererSplitEvaluator extends Object implements Serializable

serialVersionUID: 5124501059135692160L

Serialized Fields

m_removeClassColumn

boolean m_removeClassColumn

m_clusterer

weka.clusterers.DensityBasedClusterer m_clusterer

m_additionalMeasures

String[] m_additionalMeasures

m_doesProduce

boolean[] m_doesProduce

m_numberAdditionalMeasures

int m_numberAdditionalMeasures

m_result

String m_result

m_clustererOptions

String m_clustererOptions

m_clustererVersion

String m_clustererVersion

m_NoSizeDetermination

boolean m_NoSizeDetermination

Class weka.experiment.Experiment extends Object implements Serializable

serialVersionUID: 44945596742646663L

Serialized Fields

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_ResultProducer

weka.experiment.ResultProducer m_ResultProducer

m_RunLower

int m_RunLower

m_RunUpper

int m_RunUpper

m_Datasets

DefaultListModel m_Datasets

m_UsePropertyIterator

boolean m_UsePropertyIterator

m_PropertyPath

weka.experiment.PropertyNode[] m_PropertyPath

m_PropertyArray

Object m_PropertyArray

m_Notes

String m_Notes

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_ClassFirst

boolean m_ClassFirst

m_AdvanceDataSetFirst

boolean m_AdvanceDataSetFirst

Class weka.experiment.ExplicitTestsetResultProducer extends Object implements Serializable

serialVersionUID: 2613585409333652530L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_TestsetDir

File m_TestsetDir

m_TestsetPrefix

String m_TestsetPrefix

m_TestsetSuffix

String m_TestsetSuffix

m_RelationFind

String m_RelationFind

m_RelationReplace

String m_RelationReplace

m_randomize

boolean m_randomize

m_SplitEvaluator

weka.experiment.SplitEvaluator m_SplitEvaluator

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_debugOutput

boolean m_debugOutput

m_ZipDest

weka.experiment.OutputZipper m_ZipDest

m_OutputFile

File m_OutputFile

Class weka.experiment.InstanceQuery extends weka.experiment.DatabaseUtils implements Serializable

serialVersionUID: 718158370917782584L

Serialized Fields

m_CreateSparseData

boolean m_CreateSparseData

m_Query

String m_Query

m_CustomPropsFile

File m_CustomPropsFile

Class weka.experiment.InstancesResultListener extends weka.experiment.CSVResultListener implements Serializable

serialVersionUID: -2203808461809311178L

Class weka.experiment.LearningRateResultProducer extends Object implements Serializable

serialVersionUID: -3841159673490861331L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_ResultProducer

weka.experiment.ResultProducer m_ResultProducer

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_LowerSize

int m_LowerSize

m_UpperSize

int m_UpperSize

m_StepSize

int m_StepSize

m_CurrentSize

int m_CurrentSize

Class weka.experiment.PairedCorrectedTTester extends weka.experiment.PairedTTester implements Serializable

serialVersionUID: -3105268939845653323L

Class weka.experiment.PairedTTester extends Object implements Serializable

serialVersionUID: 8370014624008728610L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_RunColumn

int m_RunColumn

m_RunColumnSet

int m_RunColumnSet

m_FoldColumn

int m_FoldColumn

m_SortColumn

int m_SortColumn

m_SortOrder

int[] m_SortOrder

m_ColOrder

int[] m_ColOrder

m_SignificanceLevel

double m_SignificanceLevel

m_DatasetKeyColumnsRange

weka.core.Range m_DatasetKeyColumnsRange

m_DatasetKeyColumns

int[] m_DatasetKeyColumns

m_DatasetSpecifiers

weka.experiment.PairedTTester.DatasetSpecifiers m_DatasetSpecifiers

m_ResultsetKeyColumnsRange

weka.core.Range m_ResultsetKeyColumnsRange

m_ResultsetKeyColumns

int[] m_ResultsetKeyColumns

m_DisplayedResultsets

int[] m_DisplayedResultsets

m_Resultsets

weka.core.FastVector<E> m_Resultsets

m_ResultsetsValid

boolean m_ResultsetsValid

m_ShowStdDevs

boolean m_ShowStdDevs

m_ResultMatrix

weka.experiment.ResultMatrix m_ResultMatrix

Class weka.experiment.PairedTTester.Dataset extends Object implements Serializable

serialVersionUID: -2801397601839433282L

Serialized Fields

m_Template

weka.core.Instance m_Template

m_Dataset

weka.core.FastVector<E> m_Dataset

Class weka.experiment.PairedTTester.DatasetSpecifiers extends Object implements Serializable

serialVersionUID: -9020938059902723401L

Serialized Fields

m_Specifiers

weka.core.FastVector<E> m_Specifiers

Class weka.experiment.PairedTTester.Resultset extends Object implements Serializable

serialVersionUID: 1543786683821339978L

Serialized Fields

m_Template

weka.core.Instance m_Template

m_Datasets

weka.core.FastVector<E> m_Datasets

Class weka.experiment.PropertyNode extends Object implements Serializable

serialVersionUID: -8718165742572631384L

Serialization Methods

readObject

private void readObject(ObjectInputStream arg0)
                 throws IOException,
                        ClassNotFoundException
Throws:
IOException
ClassNotFoundException

writeObject

private void writeObject(ObjectOutputStream arg0)
                  throws IOException
Throws:
IOException
Serialized Fields

value

Object value

parentClass

Class<T> parentClass

property

PropertyDescriptor property

Class weka.experiment.RandomSplitResultProducer extends Object implements Serializable

serialVersionUID: 1403798165056795073L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_ResultListener

weka.experiment.ResultListener m_ResultListener

m_TrainPercent

double m_TrainPercent

m_randomize

boolean m_randomize

m_SplitEvaluator

weka.experiment.SplitEvaluator m_SplitEvaluator

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_debugOutput

boolean m_debugOutput

m_ZipDest

weka.experiment.OutputZipper m_ZipDest

m_OutputFile

File m_OutputFile

Class weka.experiment.RegressionSplitEvaluator extends Object implements Serializable

serialVersionUID: -328181640503349202L

Serialized Fields

m_Template

weka.classifiers.Classifier m_Template

m_Classifier

weka.classifiers.Classifier m_Classifier

m_AdditionalMeasures

String[] m_AdditionalMeasures

m_doesProduce

boolean[] m_doesProduce

m_result

String m_result

m_ClassifierOptions

String m_ClassifierOptions

m_ClassifierVersion

String m_ClassifierVersion

m_NoSizeDetermination

boolean m_NoSizeDetermination

Class weka.experiment.RemoteEngine extends UnicastRemoteObject implements Serializable

serialVersionUID: -1021538162895448259L

Serialized Fields

m_HostName

String m_HostName

m_TaskQueue

weka.core.Queue m_TaskQueue

m_TaskIdQueue

weka.core.Queue m_TaskIdQueue

m_TaskStatus

Hashtable<K,V> m_TaskStatus

m_TaskRunning

boolean m_TaskRunning

Class weka.experiment.RemoteExperiment extends weka.experiment.Experiment implements Serializable

serialVersionUID: -7357668825635314937L

Serialized Fields

m_listeners

weka.core.FastVector<E> m_listeners

m_remoteHosts

DefaultListModel m_remoteHosts

m_remoteHostsQueue

weka.core.Queue m_remoteHostsQueue

m_remoteHostsStatus

int[] m_remoteHostsStatus

m_remoteHostFailureCounts

int[] m_remoteHostFailureCounts

m_experimentAborted

boolean m_experimentAborted

m_removedHosts

int m_removedHosts

m_failedCount

int m_failedCount

m_finishedCount

int m_finishedCount

m_baseExperiment

weka.experiment.Experiment m_baseExperiment

m_subExperiments

weka.experiment.Experiment[] m_subExperiments

m_subExpQueue

weka.core.Queue m_subExpQueue

m_subExpComplete

int[] m_subExpComplete

m_splitByDataSet

boolean m_splitByDataSet

Class weka.experiment.RemoteExperimentEvent extends Object implements Serializable

serialVersionUID: 7000867987391866451L

Serialized Fields

m_statusMessage

boolean m_statusMessage

m_logMessage

boolean m_logMessage

m_messageString

String m_messageString

m_experimentFinished

boolean m_experimentFinished

Class weka.experiment.RemoteExperimentSubTask extends Object implements Serializable

Serialized Fields

m_result

weka.experiment.TaskStatusInfo m_result

m_experiment

weka.experiment.Experiment m_experiment

Class weka.experiment.ResultMatrix extends Object implements Serializable

serialVersionUID: 4487179306428209739L

Serialized Fields

TIE_STRING

String TIE_STRING

WIN_STRING

String WIN_STRING

LOSS_STRING

String LOSS_STRING

LEFT_PARENTHESES

String LEFT_PARENTHESES

RIGHT_PARENTHESES

String RIGHT_PARENTHESES

m_ColNames

String[] m_ColNames

m_RowNames

String[] m_RowNames

m_ColHidden

boolean[] m_ColHidden

m_RowHidden

boolean[] m_RowHidden

m_Significance

int[][] m_Significance

m_Mean

double[][] m_Mean

m_StdDev

double[][] m_StdDev

m_Counts

double[] m_Counts

m_MeanPrec

int m_MeanPrec

m_StdDevPrec

int m_StdDevPrec

m_ShowStdDev

boolean m_ShowStdDev

m_ShowAverage

boolean m_ShowAverage

m_PrintColNames

boolean m_PrintColNames

m_PrintRowNames

boolean m_PrintRowNames

m_EnumerateColNames

boolean m_EnumerateColNames

m_EnumerateRowNames

boolean m_EnumerateRowNames

m_ColNameWidth

int m_ColNameWidth

m_RowNameWidth

int m_RowNameWidth

m_MeanWidth

int m_MeanWidth

m_StdDevWidth

int m_StdDevWidth

m_SignificanceWidth

int m_SignificanceWidth

m_CountWidth

int m_CountWidth

m_HeaderKeys

Vector<E> m_HeaderKeys

m_HeaderValues

Vector<E> m_HeaderValues

m_NonSigWins

int[][] m_NonSigWins

m_Wins

int[][] m_Wins

m_RankingWins

int[] m_RankingWins

m_RankingLosses

int[] m_RankingLosses

m_RankingDiff

int[] m_RankingDiff

m_RowOrder

int[] m_RowOrder

m_ColOrder

int[] m_ColOrder

m_RemoveFilterName

boolean m_RemoveFilterName

Class weka.experiment.ResultMatrixCSV extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: -171838863135042743L

Class weka.experiment.ResultMatrixGnuPlot extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: -234648254944790097L

Class weka.experiment.ResultMatrixHTML extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: 6672380422544799990L

Class weka.experiment.ResultMatrixLatex extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: 777690788447600978L

Class weka.experiment.ResultMatrixMediaWiki extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: 6501952611900558450L

Serialized Fields

m_Border

int m_Border
the size of the border.


m_CellSpacing

int m_CellSpacing
the cell spacing.


m_CellPadding

int m_CellPadding
the cell padding.

Class weka.experiment.ResultMatrixPlainText extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: 1502934525382357937L

Class weka.experiment.ResultMatrixSignificance extends weka.experiment.ResultMatrix implements Serializable

serialVersionUID: -1280545644109764206L

Class weka.experiment.Stats extends Object implements Serializable

serialVersionUID: -8610544539090024102L

Serialized Fields

count

double count

sum

double sum

sumSq

double sumSq

stdDev

double stdDev

mean

double mean

min

double min

max

double max

Class weka.experiment.TaskStatusInfo extends Object implements Serializable

serialVersionUID: -6129343303703560015L

Serialized Fields

m_ExecutionStatus

int m_ExecutionStatus

m_StatusMessage

String m_StatusMessage

m_TaskResult

Object m_TaskResult

Package weka.filters

Class weka.filters.AllFilter extends weka.filters.Filter implements Serializable

serialVersionUID: 5022109283147503266L

Class weka.filters.Filter extends Object implements Serializable

serialVersionUID: -8835063755891851218L

Serialized Fields

m_OutputFormat

weka.core.Instances m_OutputFormat

m_OutputQueue

weka.core.Queue m_OutputQueue

m_OutputStringAtts

weka.core.StringLocator m_OutputStringAtts

m_InputStringAtts

weka.core.StringLocator m_InputStringAtts

m_OutputRelAtts

weka.core.RelationalLocator m_OutputRelAtts

m_InputRelAtts

weka.core.RelationalLocator m_InputRelAtts

m_InputFormat

weka.core.Instances m_InputFormat

m_NewBatch

boolean m_NewBatch

m_FirstBatchDone

boolean m_FirstBatchDone

Class weka.filters.FlowFilter extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: 4204884126927666844L

Serialized Fields

m_FlowFile

FlowFile m_FlowFile
the flow file to process the data with.


m_SubProcess

SubProcess m_SubProcess
the flow for processing the data.

Class weka.filters.MultiFilter extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: -6293720886005713120L

Serialized Fields

m_Filters

weka.filters.Filter[] m_Filters

m_Streamable

boolean m_Streamable

m_StreamableChecked

boolean m_StreamableChecked

Class weka.filters.SimpleBatchFilter extends weka.filters.SimpleFilter implements Serializable

serialVersionUID: 8102908673378055114L

Class weka.filters.SimpleFilter extends weka.filters.Filter implements Serializable

serialVersionUID: 5702974949137433141L

Serialized Fields

m_Debug

boolean m_Debug

Class weka.filters.SimpleStreamFilter extends weka.filters.SimpleFilter implements Serializable

serialVersionUID: 2754882676192747091L


Package weka.filters.unsupervised.attribute

Class weka.filters.unsupervised.attribute.AbstractColumnFinderApplier extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: 2750612199034543886L

Serialized Fields

m_ColumnFinder

ColumnFinder m_ColumnFinder
The classifier template used to do the classification.


m_Invert

boolean m_Invert
Whether to invert the column indices.

Class weka.filters.unsupervised.attribute.AbstractTimeSeries extends weka.filters.Filter implements Serializable

serialVersionUID: -3795656792078022357L

Serialized Fields

m_SelectedCols

weka.core.Range m_SelectedCols

m_FillWithMissing

boolean m_FillWithMissing

m_InstanceRange

int m_InstanceRange

m_History

weka.core.Queue m_History

Class weka.filters.unsupervised.attribute.Add extends weka.filters.Filter implements Serializable

serialVersionUID: 761386447332932389L

Serialized Fields

m_AttributeType

int m_AttributeType

m_Name

String m_Name

m_Insert

weka.core.SingleIndex m_Insert

m_Labels

weka.core.FastVector<E> m_Labels

m_DateFormat

String m_DateFormat

Class weka.filters.unsupervised.attribute.AddCluster extends weka.filters.Filter implements Serializable

serialVersionUID: 7414280611943807337L

Serialized Fields

m_Clusterer

weka.clusterers.Clusterer m_Clusterer

m_SerializedClustererFile

File m_SerializedClustererFile

m_ActualClusterer

weka.clusterers.Clusterer m_ActualClusterer

m_IgnoreAttributesRange

weka.core.Range m_IgnoreAttributesRange

m_removeAttributes

weka.filters.Filter m_removeAttributes

Class weka.filters.unsupervised.attribute.AddExpression extends weka.filters.Filter implements Serializable

serialVersionUID: 402130384261736245L

Serialized Fields

m_infixExpression

String m_infixExpression

m_attributeName

String m_attributeName

m_Debug

boolean m_Debug

m_attributeExpression

weka.core.AttributeExpression m_attributeExpression

Class weka.filters.unsupervised.attribute.AddID extends weka.filters.Filter implements Serializable

serialVersionUID: 4734383199819293390L

Serialized Fields

m_Index

weka.core.SingleIndex m_Index

m_Name

String m_Name

m_Counter

int m_Counter

Class weka.filters.unsupervised.attribute.AddNoise extends weka.filters.Filter implements Serializable

serialVersionUID: -8499673222857299082L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_UseMissing

boolean m_UseMissing

m_Percent

int m_Percent

m_RandomSeed

int m_RandomSeed

Class weka.filters.unsupervised.attribute.AddUserFields extends weka.filters.Filter implements Serializable

serialVersionUID: -2761427344847891585L

Serialized Fields

m_attributeSpecs

List<E> m_attributeSpecs

Class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec extends Object implements Serializable

serialVersionUID: -617328946241474608L

Serialized Fields

m_name

String m_name

m_value

String m_value

m_type

String m_type

m_nameS

String m_nameS

m_valueS

String m_valueS

m_typeS

String m_typeS

m_dateFormat

SimpleDateFormat m_dateFormat

m_parsedDate

Date m_parsedDate

Class weka.filters.unsupervised.attribute.AddValues extends weka.filters.Filter implements Serializable

serialVersionUID: -8100622241742393656L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_Labels

Vector<E> m_Labels

m_Sort

boolean m_Sort

m_SortedIndices

int[] m_SortedIndices

Class weka.filters.unsupervised.attribute.Center extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: -9101338448900581023L

Serialized Fields

m_Means

double[] m_Means

Class weka.filters.unsupervised.attribute.ChangeDateFormat extends weka.filters.Filter implements Serializable

serialVersionUID: -1609344074013448737L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_DateFormat

SimpleDateFormat m_DateFormat

m_OutputAttribute

weka.core.Attribute m_OutputAttribute

Class weka.filters.unsupervised.attribute.ClassAssigner extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 1775780193887394115L

Serialized Fields

m_ClassIndex

int m_ClassIndex

Class weka.filters.unsupervised.attribute.ClusterMembership extends weka.filters.Filter implements Serializable

serialVersionUID: 6675702504667714026L

Serialized Fields

m_clusterer

weka.clusterers.DensityBasedClusterer m_clusterer

m_clusterers

weka.clusterers.DensityBasedClusterer[] m_clusterers

m_ignoreAttributesRange

weka.core.Range m_ignoreAttributesRange

m_removeAttributes

weka.filters.Filter m_removeAttributes

m_priors

double[] m_priors

Class weka.filters.unsupervised.attribute.Copy extends weka.filters.Filter implements Serializable

serialVersionUID: -8543707493627441566L

Serialized Fields

m_CopyCols

weka.core.Range m_CopyCols

m_SelectedAttributes

int[] m_SelectedAttributes

Class weka.filters.unsupervised.attribute.CorrelationMatrix extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: 2353556679864963099L

Serialized Fields

m_AttributeRange

weka.core.Range m_AttributeRange
the range of attributes to work on.


m_Absolute

boolean m_Absolute
whether to return the absolute correlations.


m_Indices

Vector<E> m_Indices
the attribute indices to use.

Class weka.filters.unsupervised.attribute.DatasetCleaner extends AbstractColumnFinderApplier implements Serializable

serialVersionUID: -111639385529662833L

Serialized Fields

m_Remove

weka.filters.unsupervised.attribute.Remove m_Remove
the remove filter to use.

Class weka.filters.unsupervised.attribute.Discretize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: -1358531742174527279L

Serialized Fields

m_DiscretizeCols

weka.core.Range m_DiscretizeCols

m_NumBins

int m_NumBins

m_DesiredWeightOfInstancesPerInterval

double m_DesiredWeightOfInstancesPerInterval

m_CutPoints

double[][] m_CutPoints

m_MakeBinary

boolean m_MakeBinary

m_UseBinNumbers

boolean m_UseBinNumbers

m_FindNumBins

boolean m_FindNumBins

m_UseEqualFrequency

boolean m_UseEqualFrequency

m_DefaultCols

String m_DefaultCols

Class weka.filters.unsupervised.attribute.DownSample extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 5944266872914953692L

Serialized Fields

m_NthPoint

int m_NthPoint
the nth point.

Class weka.filters.unsupervised.attribute.FastWavelet extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -8596728919861340618L

Serialized Fields

m_Filter

weka.filters.Filter m_Filter
an optional filter for preprocessing of the data.


m_Algorithm

int m_Algorithm
the type of algorithm.


m_Padding

int m_Padding
the type of padding.


m_InverseTransform

boolean m_InverseTransform
whether to perform inverse transformation.

Class weka.filters.unsupervised.attribute.FirstOrder extends weka.filters.Filter implements Serializable

serialVersionUID: -7500464545400454179L

Serialized Fields

m_DeltaCols

weka.core.Range m_DeltaCols

Class weka.filters.unsupervised.attribute.InterquartileRange extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -227879653639723030L

Serialized Fields

m_Attributes

weka.core.Range m_Attributes

m_AttributeIndices

int[] m_AttributeIndices

m_OutlierFactor

double m_OutlierFactor

m_ExtremeValuesFactor

double m_ExtremeValuesFactor

m_ExtremeValuesAsOutliers

boolean m_ExtremeValuesAsOutliers

m_UpperExtremeValue

double[] m_UpperExtremeValue

m_UpperOutlier

double[] m_UpperOutlier

m_LowerOutlier

double[] m_LowerOutlier

m_IQR

double[] m_IQR

m_Median

double[] m_Median

m_LowerExtremeValue

double[] m_LowerExtremeValue

m_DetectionPerAttribute

boolean m_DetectionPerAttribute

m_OutlierAttributePosition

int[] m_OutlierAttributePosition

m_OutputOffsetMultiplier

boolean m_OutputOffsetMultiplier

Class weka.filters.unsupervised.attribute.InterquartileRangeSamp extends weka.filters.unsupervised.attribute.InterquartileRange implements Serializable

serialVersionUID: 3811630774543798261L

Serialized Fields

ht

Hashtable<K,V> ht

m_sample_size

int m_sample_size

count

int count

min_samples

int min_samples

m_iqrs

Hashtable<K,V> m_iqrs

Class weka.filters.unsupervised.attribute.KernelFilter extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: 213800899640387499L

Serialized Fields

m_NumTrainInstances

int m_NumTrainInstances

m_Kernel

weka.classifiers.functions.supportVector.Kernel m_Kernel

m_ActualKernel

weka.classifiers.functions.supportVector.Kernel m_ActualKernel

m_checksTurnedOff

boolean m_checksTurnedOff

m_NominalToBinary

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinary

m_Missing

weka.filters.unsupervised.attribute.ReplaceMissingValues m_Missing

m_InitFile

File m_InitFile

m_InitFileClassIndex

weka.core.SingleIndex m_InitFileClassIndex

m_Initialized

boolean m_Initialized

m_KernelFactorExpression

String m_KernelFactorExpression

m_KernelFactor

double m_KernelFactor

m_Filter

weka.filters.Filter m_Filter

m_ActualFilter

weka.filters.Filter m_ActualFilter

Class weka.filters.unsupervised.attribute.MakeIndicator extends weka.filters.Filter implements Serializable

serialVersionUID: 766001176862773163L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_ValIndex

weka.core.Range m_ValIndex

m_Numeric

boolean m_Numeric

Class weka.filters.unsupervised.attribute.MathExpression extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: -3713222714671997901L

Serialized Fields

m_SelectCols

weka.core.Range m_SelectCols

m_expression

String m_expression

m_attStats

weka.core.AttributeStats[] m_attStats

Class weka.filters.unsupervised.attribute.MergeManyValues extends weka.filters.Filter implements Serializable

serialVersionUID: 4649332102154713625L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_Label

String m_Label

m_MergeRange

weka.core.Range m_MergeRange

Class weka.filters.unsupervised.attribute.MergeTwoValues extends weka.filters.Filter implements Serializable

serialVersionUID: 2925048980504034018L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_FirstIndex

weka.core.SingleIndex m_FirstIndex

m_SecondIndex

weka.core.SingleIndex m_SecondIndex

Class weka.filters.unsupervised.attribute.NominalToBinary extends weka.filters.Filter implements Serializable

serialVersionUID: -1130642825710549138L

Serialized Fields

m_Columns

weka.core.Range m_Columns

m_Numeric

boolean m_Numeric

m_TransformAll

boolean m_TransformAll

m_needToTransform

boolean m_needToTransform

Class weka.filters.unsupervised.attribute.NominalToString extends weka.filters.Filter implements Serializable

serialVersionUID: 8655492378380068939L

Serialized Fields

m_AttIndex

weka.core.Range m_AttIndex

Class weka.filters.unsupervised.attribute.Normalize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: -8158531150984362898L

Serialized Fields

m_MinArray

double[] m_MinArray

m_MaxArray

double[] m_MaxArray

m_Translation

double m_Translation

m_Scale

double m_Scale

Class weka.filters.unsupervised.attribute.NormalizeAdaptive extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: -8158531150984262898L

Serialized Fields

m_MinArray

double[] m_MinArray
The minimum values for numeric attributes.


m_MaxArray

double[] m_MaxArray
The maximum values for numeric attributes.


m_fScale

double m_fScale

m_classIndex

int m_classIndex

Class weka.filters.unsupervised.attribute.NumericCleaner extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: -352890679895066592L

Serialized Fields

m_MinThreshold

double m_MinThreshold

m_MinDefault

double m_MinDefault

m_MaxThreshold

double m_MaxThreshold

m_MaxDefault

double m_MaxDefault

m_CloseTo

double m_CloseTo

m_CloseToDefault

double m_CloseToDefault

m_CloseToTolerance

double m_CloseToTolerance

m_Cols

weka.core.Range m_Cols

m_IncludeClass

boolean m_IncludeClass

m_Decimals

int m_Decimals

Class weka.filters.unsupervised.attribute.NumericToBinary extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: 2616879323359470802L

Class weka.filters.unsupervised.attribute.NumericToNominal extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -6614630932899796239L

Serialized Fields

m_Cols

weka.core.Range m_Cols

m_DefaultCols

String m_DefaultCols

Class weka.filters.unsupervised.attribute.NumericTransform extends weka.filters.Filter implements Serializable

serialVersionUID: -8561413333351366934L

Serialized Fields

m_Cols

weka.core.Range m_Cols

m_Class

String m_Class

m_Method

String m_Method

Class weka.filters.unsupervised.attribute.Obfuscate extends weka.filters.Filter implements Serializable

serialVersionUID: -343922772462971561L

Class weka.filters.unsupervised.attribute.PAA extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: -3516731512819723355L

Serialized Fields

m_windows

int m_windows
number of windows.

Class weka.filters.unsupervised.attribute.PartitionedMultiFilter extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -6293720886005713120L

Serialized Fields

m_Filters

weka.filters.Filter[] m_Filters

m_Ranges

weka.core.Range[] m_Ranges

m_RemoveUnused

boolean m_RemoveUnused

m_IndicesUnused

int[] m_IndicesUnused

Class weka.filters.unsupervised.attribute.PKIDiscretize extends weka.filters.unsupervised.attribute.Discretize implements Serializable

serialVersionUID: 6153101248977702675L

Class weka.filters.unsupervised.attribute.PotentialClassIgnorer extends weka.filters.Filter implements Serializable

serialVersionUID: 8625371119276845454L

Serialized Fields

m_IgnoreClass

boolean m_IgnoreClass

m_ClassIndex

int m_ClassIndex

Class weka.filters.unsupervised.attribute.PrincipalComponents extends weka.filters.Filter implements Serializable

serialVersionUID: -5649876869480249303L

Serialized Fields

m_TrainInstances

weka.core.Instances m_TrainInstances

m_TrainCopy

weka.core.Instances m_TrainCopy

m_TransformedFormat

weka.core.Instances m_TransformedFormat

m_HasClass

boolean m_HasClass

m_ClassIndex

int m_ClassIndex

m_NumAttribs

int m_NumAttribs

m_NumInstances

int m_NumInstances

m_Correlation

double[][] m_Correlation

m_center

boolean m_center

m_Eigenvectors

double[][] m_Eigenvectors

m_Eigenvalues

double[] m_Eigenvalues

m_SortedEigens

int[] m_SortedEigens

m_SumOfEigenValues

double m_SumOfEigenValues

m_ReplaceMissingFilter

weka.filters.unsupervised.attribute.ReplaceMissingValues m_ReplaceMissingFilter

m_NominalToBinaryFilter

weka.filters.unsupervised.attribute.NominalToBinary m_NominalToBinaryFilter

m_AttributeFilter

weka.filters.unsupervised.attribute.Remove m_AttributeFilter

m_standardizeFilter

weka.filters.unsupervised.attribute.Standardize m_standardizeFilter

m_centerFilter

weka.filters.unsupervised.attribute.Center m_centerFilter

m_OutputNumAtts

int m_OutputNumAtts

m_CoverVariance

double m_CoverVariance

m_MaxAttrsInName

int m_MaxAttrsInName

m_MaxAttributes

int m_MaxAttributes

Class weka.filters.unsupervised.attribute.RandomProjection extends weka.filters.Filter implements Serializable

serialVersionUID: 4428905532728645880L

Serialized Fields

m_k

int m_k

m_percent

double m_percent

m_useGaussian

boolean m_useGaussian

m_distribution

int m_distribution

m_useReplaceMissing

boolean m_useReplaceMissing

m_OutputFormatDefined

boolean m_OutputFormatDefined

m_ntob

weka.filters.Filter m_ntob

m_replaceMissing

weka.filters.Filter m_replaceMissing

m_rndmSeed

long m_rndmSeed

m_rmatrix

double[][] m_rmatrix

m_random

Random m_random

Class weka.filters.unsupervised.attribute.RandomSubset extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 2911221724251628050L

Serialized Fields

m_NumAttributes

double m_NumAttributes

m_Seed

int m_Seed

m_Indices

int[] m_Indices

Class weka.filters.unsupervised.attribute.Remove extends weka.filters.Filter implements Serializable

serialVersionUID: 5011337331921522847L

Serialized Fields

m_SelectCols

weka.core.Range m_SelectCols

m_SelectedAttributes

int[] m_SelectedAttributes

Class weka.filters.unsupervised.attribute.RemoveByName extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: -3335106965521265631L

Serialized Fields

m_Expression

String m_Expression

m_InvertSelection

boolean m_InvertSelection

m_Remove

weka.filters.unsupervised.attribute.Remove m_Remove

Class weka.filters.unsupervised.attribute.RemoveType extends weka.filters.Filter implements Serializable

serialVersionUID: -3563999462782486279L

Serialized Fields

m_attributeFilter

weka.filters.unsupervised.attribute.Remove m_attributeFilter

m_attTypeToDelete

int m_attTypeToDelete

m_invert

boolean m_invert

Class weka.filters.unsupervised.attribute.RemoveUseless extends weka.filters.Filter implements Serializable

serialVersionUID: -8659417851407640038L

Serialized Fields

m_removeFilter

weka.filters.unsupervised.attribute.Remove m_removeFilter

m_maxVariancePercentage

double m_maxVariancePercentage

Class weka.filters.unsupervised.attribute.RenameAttribute extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 4216491776378279596L

Serialized Fields

m_Find

String m_Find

m_Replace

String m_Replace

m_AttributeIndices

weka.core.Range m_AttributeIndices

m_ReplaceAll

boolean m_ReplaceAll

Class weka.filters.unsupervised.attribute.Reorder extends weka.filters.Filter implements Serializable

serialVersionUID: -1135571321097202292L

Serialized Fields

m_NewOrderCols

String m_NewOrderCols

m_SelectedAttributes

int[] m_SelectedAttributes

m_InputStringIndex

int[] m_InputStringIndex

Class weka.filters.unsupervised.attribute.ReplaceMissingValues extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: 8349568310991609867L

Serialized Fields

m_ModesAndMeans

double[] m_ModesAndMeans

Class weka.filters.unsupervised.attribute.ReplaceMissingValuesWithZero extends weka.filters.Filter implements Serializable

serialVersionUID: 5990095244439198836L

Class weka.filters.unsupervised.attribute.SavitzkyGolay extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 2244583826137735498L

Serialized Fields

m_PolynomialOrder

int m_PolynomialOrder
the polynomial order.


m_DerivativeOrder

int m_DerivativeOrder
the order of the derivative.


m_NumPointsLeft

int m_NumPointsLeft
the number of points to the left of a data point.


m_NumPointsRight

int m_NumPointsRight
the number of points to the right of a data point.


m_Coefficients

double[] m_Coefficients
the calculated coefficients.

Class weka.filters.unsupervised.attribute.SAX extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: -7011253199243036622L

Serialized Fields

m_bins

int m_bins
number of gaussian bins. (labels)


m_windows

int m_windows
number of windows.


m_OutputNominal

boolean m_OutputNominal
If true output nominal, false output numeric .


m_bps

double[] m_bps
breakpoints.

Class weka.filters.unsupervised.attribute.SetMissingValue extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 5695593189966243444L

Serialized Fields

m_AttributeRange

weka.core.Range m_AttributeRange
the range of attributes to set to missing.

Class weka.filters.unsupervised.attribute.SortLabels extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 7815204879694105691L

Serialized Fields

m_AttributeIndices

weka.core.Range m_AttributeIndices

m_NewOrder

int[][] m_NewOrder

m_SortType

int m_SortType

m_Comparator

Comparator<T> m_Comparator

Class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator extends Object implements Serializable

serialVersionUID: -4515292733342486066L

Class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator extends Object implements Serializable

serialVersionUID: 7071450356783873277L

Class weka.filters.unsupervised.attribute.SpellChecker extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 5944266872914953692L

Serialized Fields

m_AttributeIndex

weka.core.SingleIndex m_AttributeIndex
the index of the attribute to work on.


m_Incorrect

String[] m_Incorrect
the (misspelled) labels of the attribute to replace.


m_Correct

String m_Correct
the correct spelling for the labels.


m_IncorrectCache

HashSet<E> m_IncorrectCache
the hashset with the incorret labels (for faster access).

Class weka.filters.unsupervised.attribute.Standardize extends weka.filters.unsupervised.attribute.PotentialClassIgnorer implements Serializable

serialVersionUID: -6830769026855053281L

Serialized Fields

m_Means

double[] m_Means

m_StdDevs

double[] m_StdDevs

Class weka.filters.unsupervised.attribute.StringToNominal extends weka.filters.Filter implements Serializable

serialVersionUID: 4864084427902797605L

Serialized Fields

m_AttIndices

weka.core.Range m_AttIndices

Class weka.filters.unsupervised.attribute.StringToWordVector extends weka.filters.Filter implements Serializable

serialVersionUID: 8249106275278565424L

Serialized Fields

m_SelectedRange

weka.core.Range m_SelectedRange

m_Dictionary

TreeMap<K,V> m_Dictionary

m_OutputCounts

boolean m_OutputCounts

m_Prefix

String m_Prefix

m_DocsCounts

int[] m_DocsCounts

m_NumInstances

int m_NumInstances

m_AvgDocLength

double m_AvgDocLength

m_WordsToKeep

int m_WordsToKeep

m_PeriodicPruningRate

double m_PeriodicPruningRate

m_TFTransform

boolean m_TFTransform

m_filterType

int m_filterType

m_IDFTransform

boolean m_IDFTransform

m_lowerCaseTokens

boolean m_lowerCaseTokens

m_useStoplist

boolean m_useStoplist

m_Stemmer

weka.core.stemmers.Stemmer m_Stemmer

m_minTermFreq

int m_minTermFreq

m_doNotOperateOnPerClassBasis

boolean m_doNotOperateOnPerClassBasis

m_Stopwords

File m_Stopwords

m_Tokenizer

weka.core.tokenizers.Tokenizer m_Tokenizer

Class weka.filters.unsupervised.attribute.SwapValues extends weka.filters.Filter implements Serializable

serialVersionUID: 6155834679414275855L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_FirstIndex

weka.core.SingleIndex m_FirstIndex

m_SecondIndex

weka.core.SingleIndex m_SecondIndex

Class weka.filters.unsupervised.attribute.TimeSeriesDelta extends weka.filters.unsupervised.attribute.TimeSeriesTranslate implements Serializable

serialVersionUID: 3101490081896634942L

Class weka.filters.unsupervised.attribute.TimeSeriesTranslate extends weka.filters.unsupervised.attribute.AbstractTimeSeries implements Serializable

serialVersionUID: -8901621509691785705L


Package weka.filters.unsupervised.instance

Class weka.filters.unsupervised.instance.AbstractRowFinderApplier extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: 2750612199034543886L

Serialized Fields

m_RowFinder

RowFinder m_RowFinder
The classifier template used to do the classification.


m_Invert

boolean m_Invert
Whether to invert the row indices.

Class weka.filters.unsupervised.instance.DatasetCleaner extends AbstractRowFinderApplier implements Serializable

serialVersionUID: -111639385529662833L

Class weka.filters.unsupervised.instance.DatasetLabeler extends AbstractRowFinderApplier implements Serializable

serialVersionUID: -3519667295906912802L

Serialized Fields

m_AttributeName

String m_AttributeName
the name of the attribute name to add.


m_LabelMatch

String m_LabelMatch
the label to use for a match.


m_LabelNonMatch

String m_LabelNonMatch
the label to use for a nonmatch.


m_AddFilter

weka.filters.unsupervised.attribute.Add m_AddFilter
the filter for adding the label attribute.

Class weka.filters.unsupervised.instance.LatestRecords extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -6195745510550220758L

Serialized Fields

m_AttributeName

String m_AttributeName
the name of the attribute that holds the numeric database ID.


m_Amount

double m_Amount
the amount to keep (less than 1: percentage, otherwise absolute number).

Class weka.filters.unsupervised.instance.NonSparseToSparse extends weka.filters.Filter implements Serializable

serialVersionUID: 4694489111366063852L

Serialized Fields

m_encodeMissingAsZero

boolean m_encodeMissingAsZero

m_insertDummyNominalFirstValue

boolean m_insertDummyNominalFirstValue

Class weka.filters.unsupervised.instance.Randomize extends weka.filters.Filter implements Serializable

serialVersionUID: 8854479785121877582L

Serialized Fields

m_Seed

int m_Seed

m_Random

Random m_Random

Class weka.filters.unsupervised.instance.RemoveDuplicates extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -7024951985782351356L

Serialized Fields

m_IncludeClass

boolean m_IncludeClass
whether to take the class into account.


m_Randomize

boolean m_Randomize
whether to randomize the data after the removal.


m_Seed

int m_Seed
the seed value for the randomization.

Class weka.filters.unsupervised.instance.RemoveFolds extends weka.filters.Filter implements Serializable

serialVersionUID: 8220373305559055700L

Serialized Fields

m_Inverse

boolean m_Inverse

m_NumFolds

int m_NumFolds

m_Fold

int m_Fold

m_Seed

long m_Seed

Class weka.filters.unsupervised.instance.RemoveFrequentValues extends weka.filters.Filter implements Serializable

serialVersionUID: -2447432930070059511L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_NumValues

int m_NumValues

m_LeastValues

boolean m_LeastValues

m_Invert

boolean m_Invert

m_ModifyHeader

boolean m_ModifyHeader

m_NominalMapping

int[] m_NominalMapping

m_Values

HashSet<E> m_Values

Class weka.filters.unsupervised.instance.RemoveInstancesWithMissingValue extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -8611897473185237907L

Class weka.filters.unsupervised.instance.RemoveMisclassified extends weka.filters.Filter implements Serializable

serialVersionUID: 5469157004717663171L

Serialized Fields

m_cleansingClassifier

weka.classifiers.Classifier m_cleansingClassifier

m_classIndex

int m_classIndex

m_numOfCrossValidationFolds

int m_numOfCrossValidationFolds

m_numOfCleansingIterations

int m_numOfCleansingIterations

m_numericClassifyThreshold

double m_numericClassifyThreshold

m_invertMatching

boolean m_invertMatching

m_firstBatchFinished

boolean m_firstBatchFinished

Class weka.filters.unsupervised.instance.RemoveMisclassifiedRel extends weka.filters.Filter implements Serializable

serialVersionUID: 5469157004717663171L

Serialized Fields

m_cleansingClassifier

weka.classifiers.Classifier m_cleansingClassifier
The classifier used to do the cleansing


m_classIndex

int m_classIndex
The attribute to treat as the class for purposes of cleansing.


m_numOfCrossValidationFolds

int m_numOfCrossValidationFolds
The number of cross validation folds to perform (<2 = no cross validation)


m_numOfCleansingIterations

int m_numOfCleansingIterations
The maximum number of cleansing iterations to perform (<1 = until fully cleansed)


m_numericClassifyThreshold

double m_numericClassifyThreshold
The threshold for deciding when a numeric value is correctly classified


m_numericClassifyThresholdAbs

double m_numericClassifyThresholdAbs
if Absolute error is less than this, then we're ok


m_invertMatching

boolean m_invertMatching
Whether to invert the match so the correctly classified instances are discarded


m_firstBatchFinished

boolean m_firstBatchFinished
Have we processed the first batch (i.e. training data)?

Class weka.filters.unsupervised.instance.RemovePercentage extends weka.filters.Filter implements Serializable

serialVersionUID: 2150341191158533133L

Serialized Fields

m_Percentage

double m_Percentage

m_Inverse

boolean m_Inverse

Class weka.filters.unsupervised.instance.RemoveRange extends weka.filters.Filter implements Serializable

serialVersionUID: -3064641215340828695L

Serialized Fields

m_Range

weka.core.Range m_Range

Class weka.filters.unsupervised.instance.RemoveWithValues extends weka.filters.Filter implements Serializable

serialVersionUID: 4752870193679263361L

Serialized Fields

m_AttIndex

weka.core.SingleIndex m_AttIndex

m_Values

weka.core.Range m_Values

m_Value

double m_Value

m_MatchMissingValues

boolean m_MatchMissingValues

m_ModifyHeader

boolean m_ModifyHeader

m_NominalMapping

int[] m_NominalMapping

m_dontFilterAfterFirstBatch

boolean m_dontFilterAfterFirstBatch

Class weka.filters.unsupervised.instance.RemoveWithZeroes extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -6784901276150528252L

Serialized Fields

m_NumZeroes

double m_NumZeroes
the number (or percentage) of zeroes that the row must contain to be removed.


m_NumNumericAttributes

int m_NumNumericAttributes
the number of numeric attributes in the dataset.


m_MinZeroes

int m_MinZeroes
the minimum number of zeroes that a row must have.

Class weka.filters.unsupervised.instance.Resample extends weka.filters.Filter implements Serializable

serialVersionUID: 3119607037607101160L

Serialized Fields

m_SampleSizePercent

double m_SampleSizePercent

m_RandomSeed

int m_RandomSeed

m_NoReplacement

boolean m_NoReplacement

m_InvertSelection

boolean m_InvertSelection

Class weka.filters.unsupervised.instance.ReservoirSample extends weka.filters.Filter implements Serializable

serialVersionUID: 3119607037607101160L

Serialized Fields

m_SampleSize

int m_SampleSize

m_subSample

weka.core.Instance[] m_subSample

m_currentInst

int m_currentInst

m_RandomSeed

int m_RandomSeed

m_random

Random m_random

Class weka.filters.unsupervised.instance.RowNorm extends weka.filters.SimpleStreamFilter implements Serializable

serialVersionUID: 6812351429964183179L

Class weka.filters.unsupervised.instance.SafeRemoveRange extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -3064641215340828695L

Serialized Fields

m_Range

Range m_Range
Range of instances requested by the user.


m_InvertSelection

boolean m_InvertSelection
whether to invert the selection.

Class weka.filters.unsupervised.instance.Sort extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: -6195745510550220758L

Serialized Fields

m_IncludeClass

boolean m_IncludeClass
whether to take the class into account.

Class weka.filters.unsupervised.instance.SparseToNonSparse extends weka.filters.Filter implements Serializable

serialVersionUID: 2481634184210236074L

Class weka.filters.unsupervised.instance.SubsetByExpression extends weka.filters.SimpleBatchFilter implements Serializable

serialVersionUID: 5628686110979589602L

Serialized Fields

m_Expression

String m_Expression

m_filterAfterFirstBatch

boolean m_filterAfterFirstBatch

Package weka.gui.explorer

Class weka.gui.explorer.AbstractPlotInstances extends Object implements Serializable

serialVersionUID: 2375155184845160908L

Serialized Fields

m_Instances

weka.core.Instances m_Instances

m_PlotInstances

weka.core.Instances m_PlotInstances

m_FinishUpCalled

boolean m_FinishUpCalled

Class weka.gui.explorer.AssociationsPanel extends JPanel implements Serializable

serialVersionUID: -6867871711865476971L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer

m_AssociatorEditor

weka.gui.GenericObjectEditor m_AssociatorEditor

m_CEPanel

weka.gui.PropertyPanel m_CEPanel

m_OutText

JTextArea m_OutText

m_Log

weka.gui.Logger m_Log

m_SaveOut

weka.gui.SaveBuffer m_SaveOut

m_History

weka.gui.ResultHistoryPanel m_History

m_StartBut

JButton m_StartBut

m_StopBut

JButton m_StopBut

m_storeOutput

JCheckBox m_storeOutput

m_Instances

weka.core.Instances m_Instances

m_TestInstances

weka.core.Instances m_TestInstances

m_RunThread

Thread m_RunThread

Class weka.gui.explorer.AttributeSelectionPanel extends JPanel implements Serializable

serialVersionUID: 5627185966993476142L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer

m_AttributeEvaluatorEditor

weka.gui.GenericObjectEditor m_AttributeEvaluatorEditor

m_AttributeSearchEditor

weka.gui.GenericObjectEditor m_AttributeSearchEditor

m_AEEPanel

weka.gui.PropertyPanel m_AEEPanel

m_ASEPanel

weka.gui.PropertyPanel m_ASEPanel

m_OutText

JTextArea m_OutText

m_Log

weka.gui.Logger m_Log

m_SaveOut

weka.gui.SaveBuffer m_SaveOut

m_History

weka.gui.ResultHistoryPanel m_History

m_ClassCombo

JComboBox m_ClassCombo

m_CVBut

JRadioButton m_CVBut

m_TrainBut

JRadioButton m_TrainBut

m_CVLab

JLabel m_CVLab

m_CVText

JTextField m_CVText

m_SeedLab

JLabel m_SeedLab

m_SeedText

JTextField m_SeedText

m_RadioListener

ActionListener m_RadioListener

m_StartBut

JButton m_StartBut

m_StopBut

JButton m_StopBut

COMBO_SIZE

Dimension COMBO_SIZE

m_Instances

weka.core.Instances m_Instances

m_RunThread

Thread m_RunThread

Class weka.gui.explorer.ClassifierErrorsPlotInstances extends weka.gui.explorer.AbstractPlotInstances implements Serializable

serialVersionUID: -3941976365792013279L

Serialized Fields

m_MinimumPlotSizeNumeric

int m_MinimumPlotSizeNumeric

m_MaximumPlotSizeNumeric

int m_MaximumPlotSizeNumeric

m_SaveForVisualization

boolean m_SaveForVisualization

m_PlotShapes

weka.core.FastVector<E> m_PlotShapes

m_PlotSizes

weka.core.FastVector<E> m_PlotSizes

m_Classifier

weka.classifiers.Classifier m_Classifier

m_ClassIndex

int m_ClassIndex

m_Evaluation

weka.classifiers.Evaluation m_Evaluation

Class weka.gui.explorer.ClassifierPanel extends JPanel implements Serializable

serialVersionUID: 6959973704963624003L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer

m_ClassifierEditor

weka.gui.GenericObjectEditor m_ClassifierEditor

m_CEPanel

weka.gui.PropertyPanel m_CEPanel

m_OutText

JTextArea m_OutText

m_Log

weka.gui.Logger m_Log

m_SaveOut

weka.gui.SaveBuffer m_SaveOut

m_History

weka.gui.ResultHistoryPanel m_History

m_ClassCombo

JComboBox m_ClassCombo

m_CVBut

JRadioButton m_CVBut

m_PercentBut

JRadioButton m_PercentBut

m_TrainBut

JRadioButton m_TrainBut

m_TestSplitBut

JRadioButton m_TestSplitBut

m_StorePredictionsBut

JCheckBox m_StorePredictionsBut

m_OutputModelBut

JCheckBox m_OutputModelBut

m_OutputPerClassBut

JCheckBox m_OutputPerClassBut

m_OutputConfusionBut

JCheckBox m_OutputConfusionBut

m_OutputEntropyBut

JCheckBox m_OutputEntropyBut

m_ClassificationOutputEditor

weka.gui.GenericObjectEditor m_ClassificationOutputEditor

m_ClassificationOutputPanel

weka.gui.PropertyPanel m_ClassificationOutputPanel

m_OutputAdditionalAttributesRange

weka.core.Range m_OutputAdditionalAttributesRange

m_EvalWRTCostsBut

JCheckBox m_EvalWRTCostsBut

m_SetCostsBut

JButton m_SetCostsBut

m_CVLab

JLabel m_CVLab

m_CVText

JTextField m_CVText

m_PercentLab

JLabel m_PercentLab

m_PercentText

JTextField m_PercentText

m_SetTestBut

JButton m_SetTestBut

m_SetTestFrame

JFrame m_SetTestFrame

m_SetCostsFrame

weka.gui.PropertyDialog m_SetCostsFrame

m_RadioListener

ActionListener m_RadioListener

m_MoreOptions

JButton m_MoreOptions

m_RandomSeedText

JTextField m_RandomSeedText

m_RandomLab

JLabel m_RandomLab

m_PreserveOrderBut

JCheckBox m_PreserveOrderBut

m_OutputSourceCode

JCheckBox m_OutputSourceCode

m_SourceCodeClass

JTextField m_SourceCodeClass

m_StartBut

JButton m_StartBut

m_StopBut

JButton m_StopBut

COMBO_SIZE

Dimension COMBO_SIZE

m_CostMatrixEditor

weka.gui.CostMatrixEditor m_CostMatrixEditor

m_Instances

weka.core.Instances m_Instances

m_TestLoader

weka.core.converters.Loader m_TestLoader

m_TestClassIndex

int m_TestClassIndex

m_RunThread

Thread m_RunThread

m_CurrentVis

weka.gui.visualize.VisualizePanel m_CurrentVis

m_ModelFilter

FileFilter m_ModelFilter

m_PMMLModelFilter

FileFilter m_PMMLModelFilter

m_FileChooser

JFileChooser m_FileChooser

Class weka.gui.explorer.ClustererAssignmentsPlotInstances extends weka.gui.explorer.AbstractPlotInstances implements Serializable

serialVersionUID: -4748134272046520423L

Serialized Fields

m_PlotShapes

int[] m_PlotShapes

m_Clusterer

weka.clusterers.Clusterer m_Clusterer

m_Evaluation

weka.clusterers.ClusterEvaluation m_Evaluation

Class weka.gui.explorer.ClustererPanel extends JPanel implements Serializable

serialVersionUID: -2474932792950820990L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer

m_ClustererEditor

weka.gui.GenericObjectEditor m_ClustererEditor

m_CLPanel

weka.gui.PropertyPanel m_CLPanel

m_OutText

JTextArea m_OutText

m_Log

weka.gui.Logger m_Log

m_SaveOut

weka.gui.SaveBuffer m_SaveOut

m_History

weka.gui.ResultHistoryPanel m_History

m_PercentBut

JRadioButton m_PercentBut

m_TrainBut

JRadioButton m_TrainBut

m_TestSplitBut

JRadioButton m_TestSplitBut

m_ClassesToClustersBut

JRadioButton m_ClassesToClustersBut

m_ClassCombo

JComboBox m_ClassCombo

m_PercentLab

JLabel m_PercentLab

m_PercentText

JTextField m_PercentText

m_SetTestBut

JButton m_SetTestBut

m_SetTestFrame

JFrame m_SetTestFrame

m_ignoreBut

JButton m_ignoreBut

m_ignoreKeyModel

DefaultListModel m_ignoreKeyModel

m_ignoreKeyList

JList m_ignoreKeyList

m_RadioListener

ActionListener m_RadioListener

m_StartBut

JButton m_StartBut

COMBO_SIZE

Dimension COMBO_SIZE

m_StopBut

JButton m_StopBut

m_Instances

weka.core.Instances m_Instances

m_TestInstances

weka.core.Instances m_TestInstances

m_CurrentVis

weka.gui.visualize.VisualizePanel m_CurrentVis

m_StorePredictionsBut

JCheckBox m_StorePredictionsBut

m_RunThread

Thread m_RunThread

m_Summary

weka.gui.InstancesSummaryPanel m_Summary

m_ModelFilter

FileFilter m_ModelFilter

m_FileChooser

JFileChooser m_FileChooser

Class weka.gui.explorer.DataGeneratorPanel extends JPanel implements Serializable

serialVersionUID: -2520408165350629380L

Serialized Fields

m_GeneratorEditor

weka.gui.GenericObjectEditor m_GeneratorEditor

m_Instances

weka.core.Instances m_Instances

m_Output

StringWriter m_Output

m_Log

weka.gui.Logger m_Log

Class weka.gui.explorer.ExperimentPanel extends JPanel implements Serializable

serialVersionUID: 2078066653508312179L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer
the parent frame.


m_ClassifierEditor

weka.gui.GenericObjectEditor m_ClassifierEditor
Lets the user configure the classifier.


m_CEPanel

weka.gui.PropertyPanel m_CEPanel
The panel showing the current classifier selection.


m_OutText

JTextArea m_OutText
The output area for classification results.


m_Log

weka.gui.Logger m_Log
The destination for log/status messages.


m_SaveOut

weka.gui.SaveBuffer m_SaveOut
The buffer saving object for saving output.


m_History

weka.gui.ResultHistoryPanel m_History
A panel controlling results viewing.


m_RunsSpinner

JSpinner m_RunsSpinner
The spinner for the number of runs.


m_EvalCombo

JComboBox m_EvalCombo
The type of evaluation: cross-validation or random split.


m_FoldsPercLabel

JLabel m_FoldsPercLabel
The label for either the number of folds or the percentage for the random split.


m_FoldsPercText

JTextField m_FoldsPercText
Either the number of folds or the percentage for the random split.


m_ClassCombo

JComboBox m_ClassCombo
Lets the user select the class column.


m_StartBut

JButton m_StartBut
Click to start running the experiment.


m_StopBut

JButton m_StopBut
Click to stop a running experiment.


COMBO_SIZE

Dimension COMBO_SIZE
Stop the class combo from taking up to much space.


m_Instances

weka.core.Instances m_Instances
The main set of instances we're playing with.


m_TestLoader

weka.core.converters.Loader m_TestLoader
The loader used to load the user-supplied test set (if any).


m_RunThread

Thread m_RunThread
A thread that classification runs in.

Class weka.gui.explorer.Explorer extends JPanel implements Serializable

serialVersionUID: -7674003708867909578L

Serialized Fields

m_PreprocessPanel

weka.gui.explorer.PreprocessPanel m_PreprocessPanel

m_Panels

Vector<E> m_Panels

m_TabbedPane

JTabbedPane m_TabbedPane

m_LogPanel

weka.gui.LogPanel m_LogPanel

m_CapabilitiesFilterChangeListeners

HashSet<E> m_CapabilitiesFilterChangeListeners

Class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent extends ChangeEvent implements Serializable

serialVersionUID: 1194260517270385559L

Serialized Fields

m_Filter

weka.core.Capabilities m_Filter

Class weka.gui.explorer.ExplorerDefaults extends Object implements Serializable

serialVersionUID: 4954795757927524225L

Class weka.gui.explorer.PreprocessPanel extends JPanel implements Serializable

serialVersionUID: 6764850273874813049L

Serialized Fields

m_InstSummaryPanel

weka.gui.InstancesSummaryPanel m_InstSummaryPanel

m_OpenFileBut

JButton m_OpenFileBut

m_OpenURLBut

JButton m_OpenURLBut

m_OpenDBBut

JButton m_OpenDBBut

m_GenerateBut

JButton m_GenerateBut

m_UndoBut

JButton m_UndoBut

m_EditBut

JButton m_EditBut

m_SaveBut

JButton m_SaveBut

m_AttPanel

weka.gui.AttributeSelectionPanel m_AttPanel

m_RemoveButton

JButton m_RemoveButton

m_AttSummaryPanel

weka.gui.AttributeSummaryPanel m_AttSummaryPanel

m_FilterEditor

weka.gui.GenericObjectEditor m_FilterEditor

m_FilterPanel

weka.gui.PropertyPanel m_FilterPanel

m_ApplyFilterBut

JButton m_ApplyFilterBut

m_FileChooser

weka.gui.ConverterFileChooser m_FileChooser

m_LastURL

String m_LastURL

m_SQLQ

String m_SQLQ

m_Instances

weka.core.Instances m_Instances

m_DataGenerator

weka.datagenerators.DataGenerator m_DataGenerator

m_AttVisualizePanel

weka.gui.AttributeVisualizationPanel m_AttVisualizePanel

m_tempUndoFiles

File[] m_tempUndoFiles

m_tempUndoIndex

int m_tempUndoIndex

m_Support

PropertyChangeSupport m_Support

m_IOThread

Thread m_IOThread

m_Log

weka.gui.Logger m_Log

m_Explorer

weka.gui.explorer.Explorer m_Explorer

Class weka.gui.explorer.SqlPanel extends JPanel implements Serializable

serialVersionUID: 2926260895970369406L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer
the parent frame


m_Support

PropertyChangeSupport m_Support
Manages sending notifications to people when we change the set of working instances.


m_Log

weka.gui.Logger m_Log
The destination for log/status messages


m_Viewer

weka.gui.sql.SqlViewer m_Viewer
the SQL panel


m_PanelButtons

JPanel m_PanelButtons
the panel for the buttons


m_ButtonLoad

JButton m_ButtonLoad
the Load button


m_LabelQuery

JLabel m_LabelQuery
displays the current query

Class weka.gui.explorer.VisualizePanel extends weka.gui.visualize.MatrixPanel implements Serializable

serialVersionUID: 6084015036853918846L

Serialized Fields

m_Explorer

weka.gui.explorer.Explorer m_Explorer



Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.