hex.glm
Class GLMModel

java.lang.Object
  water.Iced
      water.Model
          hex.glm.GLMModel

All Implemented Interfaces:

java.lang.Cloneable, Freezable

public class GLMModel
extends Model

Nested Class Summary

static class

GLMModel.GLMValidationTask

Nested classes/interfaces inherited from class water.Model

Model.SB

Field Summary

static DocGen.FieldDoc[]

DOC_FIELDS

Fields inherited from class water.Model

_dataKey, _domains, _names, _selfKey

Constructor Summary

GLMModel(Key selfKey, Frame fr, GLMParams glm, double beta_eps, double alpha, double lambda, long run_time, GLMParams.CaseMode caseMode, double caseVal)

GLMModel(Key selfKey, Key dataKey, int iteration, Frame fr, GLMTask glmt, double beta_eps, double alpha, double lambda, double[] beta, double threshold, java.lang.String[] warnings, long run_time, GLMParams.CaseMode caseMode, double caseVal)

Method Summary

double[]	beta()
java.util.HashMap<java.lang.String,java.lang.Double>	coefficients() get beta coefficients in a map indexed by name
java.lang.String[]	coefNames()
void	delete() Called when deleting this model, to cleanup any internal keys
void	generateHTML(java.lang.String title, java.lang.StringBuilder sb)
int	ncoefs()
int	rank()
protected float[]	score0(double[] data, float[] preds) Subclasses implement the scoring logic.
void	setValidation(GLMValidation val)
java.lang.String	toString()
GLMValidation	validation()

Methods inherited from class water.Model

adapt, classNames, cm, getDomainMapping, isClassifier, nclasses, responseName, score, score, score, score, score, score0, testJavaScoring, toJava, toJavaInit, toJavaInit, toJavaPredictBody

Methods inherited from class water.Iced

clone, frozenType, init, newInstance, read, toDocField, write, writeJSON, writeJSONFields

Methods inherited from class java.lang.Object

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

Field Detail

DOC_FIELDS

public static DocGen.FieldDoc[] DOC_FIELDS

Constructor Detail

GLMModel

public GLMModel(Key selfKey,
                Frame fr,
                GLMParams glm,
                double beta_eps,
                double alpha,
                double lambda,
                long run_time,
                GLMParams.CaseMode caseMode,
                double caseVal)

GLMModel

public GLMModel(Key selfKey,
                Key dataKey,
                int iteration,
                Frame fr,
                GLMTask glmt,
                double beta_eps,
                double alpha,
                double lambda,
                double[] beta,
                double threshold,
                java.lang.String[] warnings,
                long run_time,
                GLMParams.CaseMode caseMode,
                double caseVal)

Method Detail

validation

public GLMValidation validation()

beta

public double[] beta()

score0

protected float[] score0(double[] data,
                         float[] preds)

Description copied from class: Model

Subclasses implement the scoring logic. The data is pre-loaded into a re-used temp array, in the order the model expects. The predictions are loaded into the re-used temp array, which is also returned.

Specified by:

score0 in class Model

ncoefs

public final int ncoefs()

generateHTML

public void generateHTML(java.lang.String title,
                         java.lang.StringBuilder sb)

coefficients

public java.util.HashMap<java.lang.String,java.lang.Double> coefficients()

get beta coefficients in a map indexed by name

Returns:

coefNames

public java.lang.String[] coefNames()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

rank

public int rank()

delete

public void delete()

Description copied from class: Model

Called when deleting this model, to cleanup any internal keys

Overrides:

delete in class Model

setValidation

public void setValidation(GLMValidation val)