Class InstancesCrossValidationFoldGenerator
- java.lang.Object
-
- adams.core.logging.LoggingObject
-
- adams.core.logging.CustomLoggingLevelObject
-
- adams.core.option.AbstractOptionHandler
-
- adams.flow.transformer.indexedsplitsrunsgenerator.AbstractIndexedSplitsRunsGenerator
-
- adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator
-
- adams.flow.transformer.indexedsplitsrunsgenerator.InstancesCrossValidationFoldGenerator
-
- All Implemented Interfaces:
adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.OptionalRandomizable
,adams.core.QuickInfoSupporter
,adams.core.Randomizable
,adams.core.SizeOfHandler
,adams.flow.core.FlowContextHandler
,adams.flow.transformer.indexedsplitsrunsgenerator.IndexedSplitsRunsGenerator
,InstancesIndexedSplitsRunsGenerator
,Serializable
public class InstancesCrossValidationFoldGenerator extends AbstractInstancesIndexedSplitsRunsGenerator implements adams.core.OptionalRandomizable
Split generator that generates folds for cross-validation for Instances objects.- Author:
- FracPete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
-
-
Field Summary
Fields Modifier and Type Field Description protected int
m_NumFolds
the number of folds.protected boolean
m_Randomize
whether to randomize the data.protected long
m_Seed
the seed value.protected boolean
m_Stratify
whether to stratify the data (in case of nominal class).-
Fields inherited from class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator
m_AddAttributeInformation, m_AddDatasetInformation
-
Fields inherited from class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractIndexedSplitsRunsGenerator
m_FlowContext, m_MetaData
-
Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
-
Fields inherited from interface adams.flow.transformer.indexedsplitsrunsgenerator.InstancesIndexedSplitsRunsGenerator
DATASET_NAME, DATASET_NUMATTRIBUTES, DATASET_NUMINSTANCES, PREFIX_DATASET_ATTRIBUTE, SUFFIX_NAME, SUFFIX_TYPE
-
-
Constructor Summary
Constructors Constructor Description InstancesCrossValidationFoldGenerator()
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected String
check(Object data)
Checks whether the data can be processed.void
defineOptions()
Adds options to the internal list of options.protected adams.data.indexedsplits.IndexedSplitsRuns
doGenerate(Object data, adams.core.MessageCollection errors)
Generates the indexed splits.int
getNumFolds()
Returns the number of folds.String
getQuickInfo()
Returns a quick info about the object, which can be displayed in the GUI.boolean
getRandomize()
Returns whether to randomize the data.long
getSeed()
Returns the seed value.boolean
getStratify()
Returns whether to stratify the data (in case of nominal class).String
globalInfo()
Returns a string describing the object.String
numFoldsTipText()
Returns the tip text for this property.String
randomizeTipText()
Returns the tip text for this property.String
seedTipText()
Returns the tip text for this property.void
setNumFolds(int value)
Sets the number of folds to use.void
setRandomize(boolean value)
Sets whether to randomize the data.void
setSeed(long value)
Sets the seed value.void
setStratify(boolean value)
Sets whether to stratify the data (nominal class).String
stratifyTipText()
Returns the tip text for this property.-
Methods inherited from class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractInstancesIndexedSplitsRunsGenerator
accepts, addAttributeInformationTipText, addDatasetInformationTipText, getAddAttributeInformation, getAddDatasetInformation, postGenerate, setAddAttributeInformation, setAddDatasetInformation
-
Methods inherited from class adams.flow.transformer.indexedsplitsrunsgenerator.AbstractIndexedSplitsRunsGenerator
generate, getFlowContext, getMetaData, metaDataTipText, setFlowContext, setMetaData
-
Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString
-
Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
-
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
-
-
-
-
Method Detail
-
globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
-
defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classAbstractInstancesIndexedSplitsRunsGenerator
-
setNumFolds
public void setNumFolds(int value)
Sets the number of folds to use.- Parameters:
value
- the number of folds, less than 2 for LOO
-
getNumFolds
public int getNumFolds()
Returns the number of folds.- Returns:
- the number of folds
-
numFoldsTipText
public String numFoldsTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
-
setRandomize
public void setRandomize(boolean value)
Sets whether to randomize the data.- Specified by:
setRandomize
in interfaceadams.core.OptionalRandomizable
- Parameters:
value
- true if to randomize the data
-
getRandomize
public boolean getRandomize()
Returns whether to randomize the data.- Specified by:
getRandomize
in interfaceadams.core.OptionalRandomizable
- Returns:
- true if to randomize the data
-
randomizeTipText
public String randomizeTipText()
Returns the tip text for this property.- Specified by:
randomizeTipText
in interfaceadams.core.OptionalRandomizable
- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
-
setSeed
public void setSeed(long value)
Sets the seed value.- Specified by:
setSeed
in interfaceadams.core.Randomizable
- Parameters:
value
- the seed
-
getSeed
public long getSeed()
Returns the seed value.- Specified by:
getSeed
in interfaceadams.core.Randomizable
- Returns:
- the seed
-
seedTipText
public String seedTipText()
Returns the tip text for this property.- Specified by:
seedTipText
in interfaceadams.core.Randomizable
- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
-
setStratify
public void setStratify(boolean value)
Sets whether to stratify the data (nominal class).- Parameters:
value
- whether to stratify the data (nominal class)
-
getStratify
public boolean getStratify()
Returns whether to stratify the data (in case of nominal class).- Returns:
- true if to stratify
-
stratifyTipText
public String stratifyTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
-
getQuickInfo
public String getQuickInfo()
Returns a quick info about the object, which can be displayed in the GUI.- Specified by:
getQuickInfo
in interfaceadams.core.QuickInfoSupporter
- Overrides:
getQuickInfo
in classAbstractInstancesIndexedSplitsRunsGenerator
- Returns:
- null if no info available, otherwise short string
-
check
protected String check(Object data)
Checks whether the data can be processed.- Overrides:
check
in classadams.flow.transformer.indexedsplitsrunsgenerator.AbstractIndexedSplitsRunsGenerator
- Parameters:
data
- the data to check- Returns:
- null if checks passed, otherwise error message
-
doGenerate
protected adams.data.indexedsplits.IndexedSplitsRuns doGenerate(Object data, adams.core.MessageCollection errors)
Generates the indexed splits.- Specified by:
doGenerate
in classadams.flow.transformer.indexedsplitsrunsgenerator.AbstractIndexedSplitsRunsGenerator
- Parameters:
data
- the data to use for generating the splitserrors
- for storing any errors occurring during processing- Returns:
- the splits or null in case of error
-
-