hex.glm

Class GLMUtils

java.lang.Object

hex.glm.GLMUtils

public class GLMUtils
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
GLMUtils()

Method Summary

Modifier and Type	Method and Description
static double	calSmoothNess(double[][] beta, double[][][] penaltyMatrix, int[][] gamColIndices)
static double	calSmoothNess(double[] beta, double[][][] penaltyMatrix, int[][] gamColIndices)
static int[][]	extractAdaptedFrameIndices(water.fvec.Frame adaptFrame, java.lang.String[][] gamColnames, int numOffset) From the gamColnames, this method attempts to translate to the column indices in adaptFrame.
static void	updateGradGam(double[] gradient, double[][][] penalty_mat, int[][] gamBetaIndices, double[] beta, int[] activeCols)
static void	updateGradGamMultinomial(double[][] gradient, double[][][] penaltyMat, int[][] gamBetaIndices, double[][] beta)

Methods inherited from class java.lang.Object

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

Constructor Detail

GLMUtils

public GLMUtils()

Method Detail

extractAdaptedFrameIndices

public static int[][] extractAdaptedFrameIndices(water.fvec.Frame adaptFrame,
                                                 java.lang.String[][] gamColnames,
                                                 int numOffset)

From the gamColnames, this method attempts to translate to the column indices in adaptFrame.

Parameters:

adaptFrame -

gamColnames -

Returns:

updateGradGam

public static void updateGradGam(double[] gradient,
                                 double[][][] penalty_mat,
                                 int[][] gamBetaIndices,
                                 double[] beta,
                                 int[] activeCols)

updateGradGamMultinomial

public static void updateGradGamMultinomial(double[][] gradient,
                                            double[][][] penaltyMat,
                                            int[][] gamBetaIndices,
                                            double[][] beta)

calSmoothNess

public static double calSmoothNess(double[] beta,
                                   double[][][] penaltyMatrix,
                                   int[][] gamColIndices)

calSmoothNess

public static double calSmoothNess(double[][] beta,
                                   double[][][] penaltyMatrix,
                                   int[][] gamColIndices)

Parameters:

beta - multinomial number of class by number of predictors

penaltyMatrix -

gamColIndices -

Returns: