Package adams.data.heatmapfeatures
Class CountValues
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.data.heatmapfeatures.AbstractHeatmapFeatureGenerator
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- adams.data.heatmapfeatures.AbstractMetaHeatmapFeatureGenerator
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- adams.data.heatmapfeatures.CountValues
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- All Implemented Interfaces:
adams.core.CleanUpHandler,adams.core.Destroyable,adams.core.GlobalInfoSupporter,adams.core.logging.LoggingLevelHandler,adams.core.logging.LoggingSupporter,adams.core.option.OptionHandler,adams.core.QuickInfoSupporter,adams.core.ShallowCopySupporter<AbstractHeatmapFeatureGenerator>,adams.core.SizeOfHandler,Serializable,Comparable
public class CountValues extends AbstractMetaHeatmapFeatureGenerator
Meta-feature-generator that counts numeric values that satisfy the specified min/max range.
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING
-converter <adams.data.featureconverter.AbstractFeatureConverter> (property: converter) The feature converter to use to produce the output data. default: adams.data.featureconverter.SpreadSheet -data-row-type adams.data.spreadsheet.DenseDataRow -spreadsheet-type adams.data.spreadsheet.SpreadSheet
-field <adams.data.report.Field> [-field ...] (property: fields) The fields to add to the output. default:
-notes <adams.core.base.BaseString> [-notes ...] (property: notes) The notes to add as attributes to the generated data, eg 'PROCESS INFORMATION' . default:
-generator <adams.data.heatmapfeatures.AbstractHeatmapFeatureGenerator> (property: generator) The base feature generator to use for generating data to be used as input for the counts. default: adams.data.heatmapfeatures.Values -converter \"adams.data.featureconverter.SpreadSheet -data-row-type adams.data.spreadsheet.DenseDataRow -spreadsheet-type adams.data.spreadsheet.SpreadSheet\"
-minimum <double> (property: minimum) The minimum value that the values must satisfy; use NaN (not a number) to ignore minimum. default: NaN
-minimum-included <boolean> (property: minimumIncluded) If enabled, then the minimum value gets included (testing '<=' rather than '<'). default: false
-maximum <double> (property: maximum) The maximum value that the values must satisfy; use NaN (not a number) to ignore maximum. default: NaN
-maximum-included <boolean> (property: maximumIncluded) If enabled, then the maximum value gets included (testing '>=' rather than '>'). default: false
-label <java.lang.String> (property: label) The optional label to use; otherwise min/max are used to construct label. default:
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected Stringm_Labelthe optional label for the generated feature.protected doublem_Maximumthe maximum value.protected booleanm_MaximumIncludedwhether the maximum value is included.protected doublem_Minimumthe minimum value.protected booleanm_MinimumIncludedwhether the minimum value is included.static StringNANthe placeholder for NaN.-
Fields inherited from class adams.data.heatmapfeatures.AbstractMetaHeatmapFeatureGenerator
m_Generator
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Fields inherited from class adams.data.heatmapfeatures.AbstractHeatmapFeatureGenerator
m_Converter, m_Fields, m_Notes
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Constructor Summary
Constructors Constructor Description CountValues()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description adams.data.featureconverter.HeaderDefinitioncreateHeader(Heatmap map)Creates the header from a template heatmap.voiddefineOptions()Adds options to the internal list of options.List<Object>[]generateRows(Heatmap map)Performs the actual feature generation.StringgeneratorTipText()Returns the tip text for this property.ClassgetDatasetFormat()Returns the class of the dataset that the converter generates.protected AbstractHeatmapFeatureGeneratorgetDefaultGenerator()Returns the default generator to use.StringgetLabel()Returns the custom label to use.doublegetMaximum()Returns the maximum.booleangetMaximumIncluded()Returns whether the maximum is included.doublegetMinimum()Returns the minimum.booleangetMinimumIncluded()Returns whether the minimum is included.StringgetQuickInfo()Returns a quick info about the object, which can be displayed in the GUI.ClassgetRowFormat()Returns the class of the row that the converter generates.StringglobalInfo()Returns a string describing the object.StringlabelTipText()Returns the tip text for this property.StringmaximumIncludedTipText()Returns the tip text for this property.StringmaximumTipText()Returns the tip text for this property.StringminimumIncludedTipText()Returns the tip text for this property.StringminimumTipText()Returns the tip text for this property.voidsetLabel(String value)Sets the custom label to use.voidsetMaximum(double value)Sets the maximum.voidsetMaximumIncluded(boolean value)Sets whether to exclude the maximum.voidsetMinimum(double value)Sets the minimum.voidsetMinimumIncluded(boolean value)Sets whether to exclude the minimum.-
Methods inherited from class adams.data.heatmapfeatures.AbstractMetaHeatmapFeatureGenerator
getGenerator, setGenerator
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Methods inherited from class adams.data.heatmapfeatures.AbstractHeatmapFeatureGenerator
checkData, cleanUp, compareTo, converterTipText, destroy, equals, fieldsTipText, generate, getConverter, getFields, getNotes, notesTipText, postProcessHeader, postProcessRow, postProcessRows, reset, setConverter, setFields, setNotes, shallowCopy, shallowCopy
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Field Detail
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NAN
public static final String NAN
the placeholder for NaN.- See Also:
- Constant Field Values
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m_Minimum
protected double m_Minimum
the minimum value.
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m_MinimumIncluded
protected boolean m_MinimumIncluded
whether the minimum value is included.
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m_Maximum
protected double m_Maximum
the maximum value.
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m_MaximumIncluded
protected boolean m_MaximumIncluded
whether the maximum value is included.
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m_Label
protected String m_Label
the optional label for the generated feature.
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfoin interfaceadams.core.GlobalInfoSupporter- Specified by:
globalInfoin classadams.core.option.AbstractOptionHandler- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptionsin interfaceadams.core.option.OptionHandler- Overrides:
defineOptionsin classAbstractMetaHeatmapFeatureGenerator
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getDefaultGenerator
protected AbstractHeatmapFeatureGenerator getDefaultGenerator()
Returns the default generator to use.- Specified by:
getDefaultGeneratorin classAbstractMetaHeatmapFeatureGenerator- Returns:
- the generator
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generatorTipText
public String generatorTipText()
Returns the tip text for this property.- Specified by:
generatorTipTextin classAbstractMetaHeatmapFeatureGenerator- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setMinimum
public void setMinimum(double value)
Sets the minimum.- Parameters:
value- the minimum
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getMinimum
public double getMinimum()
Returns the minimum.- Returns:
- the minimum
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minimumTipText
public String minimumTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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setMinimumIncluded
public void setMinimumIncluded(boolean value)
Sets whether to exclude the minimum.- Parameters:
value- true to exclude minimum
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getMinimumIncluded
public boolean getMinimumIncluded()
Returns whether the minimum is included.- Returns:
- true if minimum included
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minimumIncludedTipText
public String minimumIncludedTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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setMaximum
public void setMaximum(double value)
Sets the maximum.- Parameters:
value- the maximum
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getMaximum
public double getMaximum()
Returns the maximum.- Returns:
- the maximum
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maximumTipText
public String maximumTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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setMaximumIncluded
public void setMaximumIncluded(boolean value)
Sets whether to exclude the maximum.- Parameters:
value- true to exclude maximum
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getMaximumIncluded
public boolean getMaximumIncluded()
Returns whether the maximum is included.- Returns:
- true if maximum included
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maximumIncludedTipText
public String maximumIncludedTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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setLabel
public void setLabel(String value)
Sets the custom label to use.- Parameters:
value- the label to use
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getLabel
public String getLabel()
Returns the custom label to use.- Returns:
- the label to use
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labelTipText
public String labelTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the gui
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getQuickInfo
public String getQuickInfo()
Returns a quick info about the object, which can be displayed in the GUI.- Specified by:
getQuickInfoin interfaceadams.core.QuickInfoSupporter- Overrides:
getQuickInfoin classAbstractMetaHeatmapFeatureGenerator- Returns:
- null if no info available, otherwise short string
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getDatasetFormat
public Class getDatasetFormat()
Returns the class of the dataset that the converter generates.- Overrides:
getDatasetFormatin classAbstractHeatmapFeatureGenerator- Returns:
- the format
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getRowFormat
public Class getRowFormat()
Returns the class of the row that the converter generates.- Overrides:
getRowFormatin classAbstractHeatmapFeatureGenerator- Returns:
- the format
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createHeader
public adams.data.featureconverter.HeaderDefinition createHeader(Heatmap map)
Creates the header from a template heatmap.- Specified by:
createHeaderin classAbstractHeatmapFeatureGenerator- Parameters:
map- the heatmap to act as a template- Returns:
- the generated header
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generateRows
public List<Object>[] generateRows(Heatmap map)
Performs the actual feature generation.- Specified by:
generateRowsin classAbstractHeatmapFeatureGenerator- Parameters:
map- the heatmap to process- Returns:
- the generated features
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