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 String
m_Label
the optional label for the generated feature.protected double
m_Maximum
the maximum value.protected boolean
m_MaximumIncluded
whether the maximum value is included.protected double
m_Minimum
the minimum value.protected boolean
m_MinimumIncluded
whether the minimum value is included.static String
NAN
the 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.HeaderDefinition
createHeader(Heatmap map)
Creates the header from a template heatmap.void
defineOptions()
Adds options to the internal list of options.List<Object>[]
generateRows(Heatmap map)
Performs the actual feature generation.String
generatorTipText()
Returns the tip text for this property.Class
getDatasetFormat()
Returns the class of the dataset that the converter generates.protected AbstractHeatmapFeatureGenerator
getDefaultGenerator()
Returns the default generator to use.String
getLabel()
Returns the custom label to use.double
getMaximum()
Returns the maximum.boolean
getMaximumIncluded()
Returns whether the maximum is included.double
getMinimum()
Returns the minimum.boolean
getMinimumIncluded()
Returns whether the minimum is included.String
getQuickInfo()
Returns a quick info about the object, which can be displayed in the GUI.Class
getRowFormat()
Returns the class of the row that the converter generates.String
globalInfo()
Returns a string describing the object.String
labelTipText()
Returns the tip text for this property.String
maximumIncludedTipText()
Returns the tip text for this property.String
maximumTipText()
Returns the tip text for this property.String
minimumIncludedTipText()
Returns the tip text for this property.String
minimumTipText()
Returns the tip text for this property.void
setLabel(String value)
Sets the custom label to use.void
setMaximum(double value)
Sets the maximum.void
setMaximumIncluded(boolean value)
Sets whether to exclude the maximum.void
setMinimum(double value)
Sets the minimum.void
setMinimumIncluded(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:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in 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:
defineOptions
in interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classAbstractMetaHeatmapFeatureGenerator
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getDefaultGenerator
protected AbstractHeatmapFeatureGenerator getDefaultGenerator()
Returns the default generator to use.- Specified by:
getDefaultGenerator
in classAbstractMetaHeatmapFeatureGenerator
- Returns:
- the generator
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generatorTipText
public String generatorTipText()
Returns the tip text for this property.- Specified by:
generatorTipText
in 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:
getQuickInfo
in interfaceadams.core.QuickInfoSupporter
- Overrides:
getQuickInfo
in 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:
getDatasetFormat
in classAbstractHeatmapFeatureGenerator
- Returns:
- the format
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getRowFormat
public Class getRowFormat()
Returns the class of the row that the converter generates.- Overrides:
getRowFormat
in 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:
createHeader
in 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:
generateRows
in classAbstractHeatmapFeatureGenerator
- Parameters:
map
- the heatmap to process- Returns:
- the generated features
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