hex
Class DGLM

java.lang.Object
  hex.DGLM

public abstract class DGLM
extends java.lang.Object

Nested Class Summary

static class	DGLM.CaseMode
static class	DGLM.Family
static class	DGLM.FamilyIced passthrough class around family that properly supports icing
static class	DGLM.GLMException
static class	DGLM.GLMJob
static class	DGLM.GLMModel
static class	DGLM.GLMParams
static class	DGLM.GLMValidation
static class	DGLM.GLMValidationFunc
static class	DGLM.GramMatrixFunc
static class	DGLM.LambdaMax
static class	DGLM.LambdaMaxFunc
static class	DGLM.Link
static class	DGLM.LinkIced passthrough class around Link that supports Icing

Field Summary

static double	DEFAULT_BETA_EPS
static int	DEFAULT_MAX_ITER
static java.text.DecimalFormat	dformat

Constructor Summary

DGLM()

Method Summary

static DGLM.GLMModel	buildModel(Job job, Key resKey, NewRowVecTask.DataFrame data, DLSM.LSMSolver lsm, DGLM.GLMParams params, double[] oldBeta, int xval, boolean parallel)
static NewRowVecTask.DataFrame	getData(ValueArray ary, int[] xs, int y, RowVecTask.Sampling s, boolean standardize)
static NewRowVecTask.DataFrame	getData(ValueArray ary, int[] colIds, RowVecTask.Sampling s, boolean standardize)
abstract DGLM.GLMModel	solve(DGLM.GLMModel model, ValueArray ary)
static DGLM.GLMJob	startGLMJob(Key dest, NewRowVecTask.DataFrame data, DLSM.LSMSolver lsm, DGLM.GLMParams params, double[] betaStart, int xval, boolean parallel)
static DGLM.GLMJob	startGLMJob(NewRowVecTask.DataFrame data, DLSM.LSMSolver lsm, DGLM.GLMParams params, double[] betaStart, int xval, boolean parallel)

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_MAX_ITER

public static final int DEFAULT_MAX_ITER

See Also:

Constant Field Values

DEFAULT_BETA_EPS

public static final double DEFAULT_BETA_EPS

See Also:

Constant Field Values

dformat

public static final java.text.DecimalFormat dformat

Constructor Detail

DGLM

public DGLM()

Method Detail

solve

public abstract DGLM.GLMModel solve(DGLM.GLMModel model,
                                    ValueArray ary)

getData

public static NewRowVecTask.DataFrame getData(ValueArray ary,
                                              int[] xs,
                                              int y,
                                              RowVecTask.Sampling s,
                                              boolean standardize)

getData

public static NewRowVecTask.DataFrame getData(ValueArray ary,
                                              int[] colIds,
                                              RowVecTask.Sampling s,
                                              boolean standardize)

startGLMJob

public static DGLM.GLMJob startGLMJob(NewRowVecTask.DataFrame data,
                                      DLSM.LSMSolver lsm,
                                      DGLM.GLMParams params,
                                      double[] betaStart,
                                      int xval,
                                      boolean parallel)

startGLMJob

public static DGLM.GLMJob startGLMJob(Key dest,
                                      NewRowVecTask.DataFrame data,
                                      DLSM.LSMSolver lsm,
                                      DGLM.GLMParams params,
                                      double[] betaStart,
                                      int xval,
                                      boolean parallel)

buildModel

public static DGLM.GLMModel buildModel(Job job,
                                       Key resKey,
                                       NewRowVecTask.DataFrame data,
                                       DLSM.LSMSolver lsm,
                                       DGLM.GLMParams params,
                                       double[] oldBeta,
                                       int xval,
                                       boolean parallel)
                                throws NewRowVecTask.JobCancelledException

Throws:

NewRowVecTask.JobCancelledException