Java weka.filters.supervised.instance Resample fields, constructors, methods, implement or subclass

Example usage for Java weka.filters.supervised.instance Resample fields, constructors, methods, implement or subclass

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Introduction

In this page you can find the methods, fields and constructors for weka.filters.supervised.instance Resample.

The text is from its open source code.

Constructor

Resample

Method

voidsetBiasToUniformClass(double newBiasToUniformClass)
Sets the bias towards a uniform class.
booleansetInputFormat(Instances instanceInfo)
Sets the format of the input instances.
voidsetNoReplacement(boolean value)
Sets whether instances are drawn with or with out replacement.
voidsetOptions(String[] options)
Parses a given list of options.
voidsetRandomSeed(int newSeed)
Sets the random number seed.
voidsetSampleSizePercent(double newSampleSizePercent)
Sets the size of the subsample, as a percentage of the original set.