LearningMethod.java

package org.maltparser.ml;

import java.io.BufferedWriter;
import java.util.ArrayList;
import org.maltparser.core.exception.MaltChainedException;
import org.maltparser.core.feature.FeatureVector;
import org.maltparser.core.feature.function.FeatureFunction;
import org.maltparser.core.syntaxgraph.DependencyStructure;
import org.maltparser.parser.history.action.SingleDecision;

public interface LearningMethod {

    public static final int BATCH = 0;
    public static final int CLASSIFY = 1;

    public void addInstance(SingleDecision decision, FeatureVector featureVector) throws MaltChainedException;

    public void finalizeSentence(DependencyStructure dependencyGraph) throws MaltChainedException;

    public void noMoreInstances() throws MaltChainedException;

    public void train(FeatureVector featureVector) throws MaltChainedException;

    public void moveAllInstances(LearningMethod method, FeatureFunction divideFeature, ArrayList<Integer> divideFeatureIndexVector) throws MaltChainedException;

    public void terminate() throws MaltChainedException;

    public boolean predict(FeatureVector features, SingleDecision decision) throws MaltChainedException;

    public BufferedWriter getInstanceWriter();

    public void increaseNumberOfInstances();

    public void decreaseNumberOfInstances();
}