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A

ALGORITHM_PLS1 - Static variable in class weka.filters.supervised.attribute.PLSFilter

the type of algorithm: PLS1

ALGORITHM_SIMPLS - Static variable in class weka.filters.supervised.attribute.PLSFilter

the type of algorithm: SIMPLS

algorithmTipText() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the tip text for this property

B

buildClassifier(Instances) - Method in class weka.classifiers.functions.PLSClassifier

builds the classifier

C

classifyInstance(Instance) - Method in class weka.classifiers.functions.PLSClassifier

Classifies the given test instance.

F

filterTipText() - Method in class weka.classifiers.functions.PLSClassifier

Returns the tip text for this property

G

getAlgorithm() - Method in class weka.filters.supervised.attribute.PLSFilter

Gets the type of algorithm to use

getCapabilities() - Method in class weka.classifiers.functions.PLSClassifier

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the Capabilities of this filter.

getFilter() - Method in class weka.classifiers.functions.PLSClassifier

Get the PLS filter.

getNumComponents() - Method in class weka.filters.supervised.attribute.PLSFilter

returns the maximum number of attributes to use.

getOptions() - Method in class weka.classifiers.functions.PLSClassifier

returns the options of the current setup

getOptions() - Method in class weka.filters.supervised.attribute.PLSFilter

returns the options of the current setup

getPerformPrediction() - Method in class weka.filters.supervised.attribute.PLSFilter

Gets whether the class attribute is updated with the predicted value.

getPreprocessing() - Method in class weka.filters.supervised.attribute.PLSFilter

Gets the type of preprocessing to use

getReplaceMissing() - Method in class weka.filters.supervised.attribute.PLSFilter

Gets whether missing values are replace.

getRevision() - Method in class weka.classifiers.functions.PLSClassifier

Returns the revision string.

getRevision() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the revision string.

getTechnicalInformation() - Method in class weka.filters.supervised.attribute.PLSFilter

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.

globalInfo() - Method in class weka.classifiers.functions.PLSClassifier

Returns a string describing classifier

globalInfo() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns a string describing this classifier.

L

listOptions() - Method in class weka.classifiers.functions.PLSClassifier

Gets an enumeration describing the available options.

listOptions() - Method in class weka.filters.supervised.attribute.PLSFilter

Gets an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.functions.PLSClassifier

Main method for running this classifier from commandline.

main(String[]) - Static method in class weka.filters.supervised.attribute.PLSFilter

runs the filter with the given arguments.

N

numComponentsTipText() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the tip text for this property

P

performPredictionTipText() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the tip text for this property

PLSClassifier - Class in weka.classifiers.functions

A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.

PLSClassifier() - Constructor for class weka.classifiers.functions.PLSClassifier

PLSFilter - Class in weka.filters.supervised.attribute

Runs Partial Least Square Regression over the given instances and computes the resulting beta matrix for prediction.
By default it replaces missing values and centers the data.

For more information see:

Tormod Naes, Tomas Isaksson, Tom Fearn, Tony Davies (2002).

PLSFilter() - Constructor for class weka.filters.supervised.attribute.PLSFilter

default constructor

PREPROCESSING_CENTER - Static variable in class weka.filters.supervised.attribute.PLSFilter

the type of preprocessing: Center

PREPROCESSING_NONE - Static variable in class weka.filters.supervised.attribute.PLSFilter

the type of preprocessing: None

PREPROCESSING_STANDARDIZE - Static variable in class weka.filters.supervised.attribute.PLSFilter

the type of preprocessing: Standardize

preprocessingTipText() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the tip text for this property

R

replaceMissingTipText() - Method in class weka.filters.supervised.attribute.PLSFilter

Returns the tip text for this property

S

setAlgorithm(SelectedTag) - Method in class weka.filters.supervised.attribute.PLSFilter

Sets the type of algorithm to use

setFilter(Filter) - Method in class weka.classifiers.functions.PLSClassifier

Set the PLS filter (only used for setup).

setNumComponents(int) - Method in class weka.filters.supervised.attribute.PLSFilter

sets the maximum number of attributes to use.

setOptions(String[]) - Method in class weka.classifiers.functions.PLSClassifier

Parses the options for this object.

setOptions(String[]) - Method in class weka.filters.supervised.attribute.PLSFilter

Parses the options for this object.

setPerformPrediction(boolean) - Method in class weka.filters.supervised.attribute.PLSFilter

Sets whether to update the class attribute with the predicted value.

setPreprocessing(SelectedTag) - Method in class weka.filters.supervised.attribute.PLSFilter

Sets the type of preprocessing to use

setReplaceMissing(boolean) - Method in class weka.filters.supervised.attribute.PLSFilter

Sets whether to replace missing values.

T

TAGS_ALGORITHM - Static variable in class weka.filters.supervised.attribute.PLSFilter

the types of algorithm

TAGS_PREPROCESSING - Static variable in class weka.filters.supervised.attribute.PLSFilter

the types of preprocessing

toString() - Method in class weka.classifiers.functions.PLSClassifier

returns a string representation of the classifier

W

weka.classifiers.functions - package weka.classifiers.functions

weka.filters.supervised.attribute - package weka.filters.supervised.attribute

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