edu.stanford.nlp.classify

Class LogisticClassifierFactory<L,F>

java.lang.Object

edu.stanford.nlp.classify.LogisticClassifierFactory<L,F>

All Implemented Interfaces:

ClassifierFactory<L,F,LogisticClassifier<L,F>>, java.io.Serializable

public class LogisticClassifierFactory<L,F>
extends java.lang.Object
implements ClassifierFactory<L,F,LogisticClassifier<L,F>>

Builds a classifier for binary logistic regression problems. This uses the standard statistics textbook formulation of binary logistic regression, which is more efficient than using the LinearClassifier class.

Author:

Ramesh Nallapati nmramesh@cs.stanford.edu

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogisticClassifierFactory()

Method Summary

Modifier and Type	Method and Description
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data)
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data, double l1reg)
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data, double l1reg, double tol)
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data, double l1reg, double tol, boolean biased)
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data, double l1reg, double tol, LogPrior prior)
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data, double l1reg, double tol, LogPrior prior, boolean biased)
LogisticClassifier<L,F>	trainClassifier(GeneralDataset<L,F> data, LogPrior prior, boolean biased)
LogisticClassifier<L,F>	trainWeightedData(GeneralDataset<L,F> data, float[] dataWeights)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LogisticClassifierFactory

public LogisticClassifierFactory()

Method Detail

trainWeightedData

public LogisticClassifier<L,F> trainWeightedData(GeneralDataset<L,F> data,
                                                 float[] dataWeights)

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data)

Specified by:

trainClassifier in interface ClassifierFactory<L,F,LogisticClassifier<L,F>>

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data,
                                               LogPrior prior,
                                               boolean biased)

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data,
                                               double l1reg)

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data,
                                               double l1reg,
                                               double tol)

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data,
                                               double l1reg,
                                               double tol,
                                               LogPrior prior)

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data,
                                               double l1reg,
                                               double tol,
                                               boolean biased)

trainClassifier

public LogisticClassifier<L,F> trainClassifier(GeneralDataset<L,F> data,
                                               double l1reg,
                                               double tol,
                                               LogPrior prior,
                                               boolean biased)