Package adams.data.instancesanalysis.pls
Class KernelPLS
- 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.instancesanalysis.pls.AbstractPLS
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- adams.data.instancesanalysis.pls.AbstractMultiClassPLS
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- adams.data.instancesanalysis.pls.KernelPLS
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- All Implemented Interfaces:
adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.SizeOfHandler
,adams.core.TechnicalInformationHandler
,Serializable
,weka.core.CapabilitiesHandler
,GenericPLSMatrixAccess
public class KernelPLS extends AbstractMultiClassPLS
- 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 com.github.waikatodatamining.matrix.transformation.kernel.AbstractKernel
m_Kernel
the kernel to use.protected com.github.waikatodatamining.matrix.algorithm.pls.KernelPLS
m_KernelPLS
the actual algorithm.protected int
m_MaxIter
Inner NIPALS loop maximum number of iterationsprotected double
m_Tol
Inner NIPALS loop improvement tolerance-
Fields inherited from class adams.data.instancesanalysis.pls.AbstractMultiClassPLS
m_ClassAttributeIndices, m_ClassAttributes, m_ClassMean, m_ClassStdDev, m_Filter, m_Missing, PARAM_CLASSVALUES
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Fields inherited from class adams.data.instancesanalysis.pls.AbstractPLS
m_Initialized, m_NumComponents, m_OutputFormat, m_PredictionType, m_PreprocessingType, m_ReplaceMissing
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Constructor Summary
Constructors Constructor Description KernelPLS()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
defineOptions()
Adds options to the internal list of options.protected weka.core.Instances
doTransform(weka.core.Instances data, Map<String,Object> params)
Transforms the data, initializes if necessary.com.github.waikatodatamining.matrix.transformation.kernel.AbstractKernel
getKernel()
Sets the kernel to use.weka.core.matrix.Matrix
getLoadings()
Returns the loadings, if available.weka.core.matrix.Matrix
getMatrix(String name)
Returns the matrix with the specified name.String[]
getMatrixNames()
Returns the all the available matrices.int
getMaxIter()
Sets the inner NIPALS loop improvement tolerance.adams.core.TechnicalInformation
getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.double
getTol()
Sets the inner NIPALS loop maximum number of iterations.String
globalInfo()
Returns a string describing the object.boolean
hasLoadings()
Whether the algorithm supports return of loadings.String
kernelipText()
Returns the tip text for this propertyString
maxIteripText()
Returns the tip text for this propertyvoid
setKernel(com.github.waikatodatamining.matrix.transformation.kernel.AbstractKernel value)
Sets the kernel to use.void
setMaxIter(int value)
Sets the inner NIPALS loop improvement tolerance.void
setTol(double value)
Sets the inner NIPALS loop maximum number of iterations.String
tolipText()
Returns the tip text for this property-
Methods inherited from class adams.data.instancesanalysis.pls.AbstractMultiClassPLS
classAttributesTipText, determineOutputFormat, getClassAttributes, getDefaultClassAttributes, postTransform, preTransform, reset, setClassAttributes
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Methods inherited from class adams.data.instancesanalysis.pls.AbstractPLS
getCapabilities, getDefaultPreprocessingType, getNumComponents, getOutputFormat, getPredictionType, getPreprocessingType, getReplaceMissing, isInitialized, numComponentsTipText, predictionTypeTipText, preprocessingTypeTipText, replaceMissingTipText, setNumComponents, setPredictionType, setPreprocessingType, setReplaceMissing, transform
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, 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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m_Kernel
protected com.github.waikatodatamining.matrix.transformation.kernel.AbstractKernel m_Kernel
the kernel to use.
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m_Tol
protected double m_Tol
Inner NIPALS loop improvement tolerance
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m_MaxIter
protected int m_MaxIter
Inner NIPALS loop maximum number of iterations
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m_KernelPLS
protected com.github.waikatodatamining.matrix.algorithm.pls.KernelPLS m_KernelPLS
the actual algorithm.
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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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getTechnicalInformation
public adams.core.TechnicalInformation getTechnicalInformation()
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.- Specified by:
getTechnicalInformation
in interfaceadams.core.TechnicalInformationHandler
- Specified by:
getTechnicalInformation
in classAbstractPLS
- Returns:
- the technical information about this class
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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 classAbstractMultiClassPLS
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setKernel
public void setKernel(com.github.waikatodatamining.matrix.transformation.kernel.AbstractKernel value)
Sets the kernel to use.- Parameters:
value
- the kernel
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getKernel
public com.github.waikatodatamining.matrix.transformation.kernel.AbstractKernel getKernel()
Sets the kernel to use.- Returns:
- the kernel
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kernelipText
public String kernelipText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setTol
public void setTol(double value)
Sets the inner NIPALS loop maximum number of iterations.- Parameters:
value
- the iterations
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getTol
public double getTol()
Sets the inner NIPALS loop maximum number of iterations.- Returns:
- the iterations
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tolipText
public String tolipText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setMaxIter
public void setMaxIter(int value)
Sets the inner NIPALS loop improvement tolerance.- Parameters:
value
- the tolerance
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getMaxIter
public int getMaxIter()
Sets the inner NIPALS loop improvement tolerance.- Returns:
- the tolerance
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maxIteripText
public String maxIteripText()
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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getMatrixNames
public String[] getMatrixNames()
Returns the all the available matrices.- Specified by:
getMatrixNames
in interfaceGenericPLSMatrixAccess
- Specified by:
getMatrixNames
in classAbstractPLS
- Returns:
- the names of the matrices
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getMatrix
public weka.core.matrix.Matrix getMatrix(String name)
Returns the matrix with the specified name.- Specified by:
getMatrix
in interfaceGenericPLSMatrixAccess
- Specified by:
getMatrix
in classAbstractPLS
- Parameters:
name
- the name of the matrix- Returns:
- the matrix, null if not available
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hasLoadings
public boolean hasLoadings()
Whether the algorithm supports return of loadings.- Specified by:
hasLoadings
in interfaceGenericPLSMatrixAccess
- Specified by:
hasLoadings
in classAbstractPLS
- Returns:
- true if supported
- See Also:
getLoadings()
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getLoadings
public weka.core.matrix.Matrix getLoadings()
Returns the loadings, if available.- Specified by:
getLoadings
in interfaceGenericPLSMatrixAccess
- Specified by:
getLoadings
in classAbstractPLS
- Returns:
- the loadings, null if not available
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doTransform
protected weka.core.Instances doTransform(weka.core.Instances data, Map<String,Object> params) throws Exception
Transforms the data, initializes if necessary.- Specified by:
doTransform
in classAbstractPLS
- Parameters:
data
- the data to useparams
- additional parameters- Returns:
- the transformed data
- Throws:
Exception
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