List of usage examples for weka.classifiers AbstractClassifier subclass-usage
From source file WLSVM.java
public class WLSVM extends weka.classifiers.AbstractClassifier implements WeightedInstancesHandler { protected static final long serialVersionUID = 14172; protected svm_parameter param; // LibSVM oprions
From source file REPTree.java
/**
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* Fast decision tree learner. Builds a decision/regression tree using information gain/variance and prunes it using reduced-error pruning (with backfitting). Only sorts values for numeric attributes once. Missing values are dealt with by splitting the corresponding instances into pieces (i.e. as in C4.5).
* <p/>
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*
From source file REPRandomTree.java
/**
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* Fast decision tree learner. Builds a decision/regression tree using information gain/variance and prunes it using reduced-error pruning (with backfitting). Only sorts values for numeric attributes once. Missing values are dealt with by splitting the corresponding instances into pieces (i.e. as in C4.5).
* <p/>
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*
From source file CJWeka.java
public class CJWeka extends AbstractClassifier implements CJProxy, OptionHandler, WeightedInstancesHandler { /** for serialization */ private static final long serialVersionUID = -4393145704384476775L; private static Instances ii;
From source file ai.BalancedRandomForest.java
/**
* This class implements a Balanced Random Forest classifier,
* it is an ensemble classifier of random trees where all classes
* have the same representation in the training process.
*
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From source file ALR.wdAnJE.java
public class wdAnJE extends AbstractClassifier implements OptionHandler { private static final long serialVersionUID = 4823531716976859217L; private Instances m_Instances;
From source file AnDE.wdAnDE.java
public class wdAnDE extends AbstractClassifier implements OptionHandler { private static final long serialVersionUID = 4823531716976859217L; private Instances m_Instances;
From source file AnDE.wdAnDEonline.java
public class wdAnDEonline extends AbstractClassifier implements OptionHandler, UpdateableClassifier { private static final long serialVersionUID = 4823531716976859217L; private Instances m_Instances;
From source file ANN.MultilayerPerceptron.java
/** * * @author Mujahid Suriah */ public class MultilayerPerceptron extends AbstractClassifier { ArrayList<Node> listOutput;
From source file ANN.MultiplePerceptron.java
/** * * @author Mujahid Suriah */ public class MultiplePerceptron extends AbstractClassifier { private ArrayList<Node> listNodeHidden;