edu.stanford.nlp.classify

Class LogisticUtils

java.lang.Object

edu.stanford.nlp.classify.LogisticUtils

public class LogisticUtils
extends java.lang.Object

A central place for utility functions used when training robust logistic models.

Author:

jtibs

Constructor Summary

Constructors

Constructor and Description
LogisticUtils()

Method Summary

Modifier and Type	Method and Description
static double[]	calculateSigmoids(double[][] weights, int[] featureIndices, double[] featureValues)
static double[]	calculateSums(double[][] weights, int[] featureIndices, double[] featureValues)
static double[]	calculateSums(double[][] weights, int[] featureIndices, double[] featureValues, double[] intercepts)
static double[]	convertToArray(java.util.Collection<java.lang.Double> input)
static double	dotProduct(double[] array, int[] indices, double[] values)
static double[]	flatten(double[][] input)
static double	getValue(double[][] weights, LogPrior prior)
static int[][]	identityMatrix(int n)
static <T> int[]	indicesOf(java.util.Collection<T> input, Index<T> index)
static double[][]	initializeDataValues(int[][] data)
static void	prettyPrint(double[][] gammas, double[][] thetas, double[][] zprobs)
static void	prettyPrint(java.lang.String name, double[][] matrix)
static void	prettyPrint(java.lang.String name, double[][] matrix, int maxCount)
static int	sample(double[] sigmoids)
static void	unflatten(double[] input, double[][] output)

Methods inherited from class java.lang.Object

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

Constructor Detail

LogisticUtils

public LogisticUtils()

Method Detail

identityMatrix

public static int[][] identityMatrix(int n)

flatten

public static double[] flatten(double[][] input)

unflatten

public static void unflatten(double[] input,
                             double[][] output)

dotProduct

public static double dotProduct(double[] array,
                                int[] indices,
                                double[] values)

initializeDataValues

public static double[][] initializeDataValues(int[][] data)

indicesOf

public static <T> int[] indicesOf(java.util.Collection<T> input,
                                  Index<T> index)

convertToArray

public static double[] convertToArray(java.util.Collection<java.lang.Double> input)

calculateSums

public static double[] calculateSums(double[][] weights,
                                     int[] featureIndices,
                                     double[] featureValues)

calculateSums

public static double[] calculateSums(double[][] weights,
                                     int[] featureIndices,
                                     double[] featureValues,
                                     double[] intercepts)

calculateSigmoids

public static double[] calculateSigmoids(double[][] weights,
                                         int[] featureIndices,
                                         double[] featureValues)

getValue

public static double getValue(double[][] weights,
                              LogPrior prior)

sample

public static int sample(double[] sigmoids)

prettyPrint

public static void prettyPrint(double[][] gammas,
                               double[][] thetas,
                               double[][] zprobs)

prettyPrint

public static void prettyPrint(java.lang.String name,
                               double[][] matrix)

prettyPrint

public static void prettyPrint(java.lang.String name,
                               double[][] matrix,
                               int maxCount)