hex.glm

Class GLMModel.GLMOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.glm.GLMModel.GLMOutput

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

GLMModel

public static class GLMModel.GLMOutput
extends hex.Model.Output

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
int	_best_lambda_idx
boolean	_binomial
int	_lambda_1se
boolean	_multinomial
int	_selected_lambda_idx

Fields inherited from class hex.Model.Output

_cross_validation_fold_assignment_frame_id, _cross_validation_holdout_predictions_frame_id, _cross_validation_metrics, _cross_validation_metrics_summary, _cross_validation_models, _cross_validation_predictions, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _origDomains, _origNames, _priorClassDist, _run_time, _scoring_history, _start_time, _training_metrics, _validation_metrics

Constructor Summary

Constructors

Constructor and Description
GLMModel.GLMOutput()
GLMModel.GLMOutput(DataInfo dinfo, java.lang.String[] column_names, java.lang.String[][] domains, java.lang.String[] coefficient_names, boolean binomial)
GLMModel.GLMOutput(DataInfo dinfo, java.lang.String[] column_names, java.lang.String[][] domains, java.lang.String[] coefficient_names, boolean binomial, double[] beta)
GLMModel.GLMOutput(GLM glm)

Method Summary

Methods

Modifier and Type	Method and Description
GLMModel.Submodel	bestSubmodel()
double[]	beta()
protected long	checksum_impl()
java.lang.String[]	classNames()
java.lang.String[]	coefficientNames()
static water.fvec.Frame	expand(water.fvec.Frame fr, java.lang.String[] interactions, boolean useAll, boolean standardize, boolean skipMissing)
double[][]	get_global_beta_multinomial()
double[]	getNormBeta()
double[][]	getNormBetaMultinomial()
double[][]	getNormBetaMultinomial(int idx)
GLMModel.Submodel	getSubmodel(double lambdaCVEstimate)
boolean	hasPValues()
java.lang.String[]	interactions()
boolean	isStandardized()
boolean	isSupervised()
double	lambda_1se()
double	lambda_best()
double	lambda_selected()
int	nclasses()
GLMModel.Submodel	pickBestModel()
double[]	pValues()
int	rank()
void	setSubmodel(double lambdaCVEstimate)
void	setSubmodelIdx(int l)
double[]	stdErr()
double[][]	vcov() Variance Covariance matrix accessor.
double[]	zValues()

Methods inherited from class hex.Model.Output

clearModelMetrics, foldIdx, foldName, getModelCategory, getModelMetrics, hasFold, hasOffset, hasWeights, isAutoencoder, isBinomialClassifier, isClassifier, nfeatures, offsetIdx, offsetName, printTwoDimTables, responseIdx, responseName, setNames, startClock, stopClock, toString, weightsIdx, weightsName

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

_best_lambda_idx

public int _best_lambda_idx

_lambda_1se

public int _lambda_1se

_selected_lambda_idx

public int _selected_lambda_idx

_binomial

public boolean _binomial

_multinomial

public boolean _multinomial

Constructor Detail

GLMModel.GLMOutput

public GLMModel.GLMOutput(DataInfo dinfo,
                  java.lang.String[] column_names,
                  java.lang.String[][] domains,
                  java.lang.String[] coefficient_names,
                  boolean binomial)

GLMModel.GLMOutput

public GLMModel.GLMOutput(DataInfo dinfo,
                  java.lang.String[] column_names,
                  java.lang.String[][] domains,
                  java.lang.String[] coefficient_names,
                  boolean binomial,
                  double[] beta)

GLMModel.GLMOutput

public GLMModel.GLMOutput()

GLMModel.GLMOutput

public GLMModel.GLMOutput(GLM glm)

Method Detail

lambda_best

public double lambda_best()

lambda_1se

public double lambda_1se()

lambda_selected

public double lambda_selected()

hasPValues

public boolean hasPValues()

stdErr

public double[] stdErr()

checksum_impl

protected long checksum_impl()

Overrides:

checksum_impl in class hex.Model.Output

zValues

public double[] zValues()

pValues

public double[] pValues()

rank

public int rank()

isStandardized

public boolean isStandardized()

coefficientNames

public java.lang.String[] coefficientNames()

isSupervised

public boolean isSupervised()

Overrides:

isSupervised in class hex.Model.Output

interactions

public java.lang.String[] interactions()

Overrides:

interactions in class hex.Model.Output

expand

public static water.fvec.Frame expand(water.fvec.Frame fr,
                      java.lang.String[] interactions,
                      boolean useAll,
                      boolean standardize,
                      boolean skipMissing)

vcov

public double[][] vcov()

Variance Covariance matrix accessor. Available only if odel has been built with p-values.

Returns:

nclasses

public int nclasses()

Overrides:

nclasses in class hex.Model.Output

classNames

public java.lang.String[] classNames()

Overrides:

classNames in class hex.Model.Output

pickBestModel

public GLMModel.Submodel pickBestModel()

getNormBeta

public double[] getNormBeta()

getNormBetaMultinomial

public double[][] getNormBetaMultinomial()

getNormBetaMultinomial

public double[][] getNormBetaMultinomial(int idx)

get_global_beta_multinomial

public double[][] get_global_beta_multinomial()

setSubmodelIdx

public void setSubmodelIdx(int l)

beta

public double[] beta()

bestSubmodel

public GLMModel.Submodel bestSubmodel()

setSubmodel

public void setSubmodel(double lambdaCVEstimate)

getSubmodel

public GLMModel.Submodel getSubmodel(double lambdaCVEstimate)