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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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