water.bindings.pojos

Class GLMModelOutputV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelOutputSchemaV3

water.bindings.pojos.GLMModelOutputV3

public class GLMModelOutputV3
extends ModelOutputSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
double	alphaBest Alpha minimizing the objective value, only applicable when arrays of alphas are given
int	bestSubmodelIndex submodel index minimizing the objective value, only applicable for arrays of alphas/lambda
TwoDimTableV3	coefficientsTable Table of Coefficients
TwoDimTableV3	coefficientsTableMultinomialsWithClassNames Table of Coefficients with coefficients denoted with class names for GLM multinonimals only.
double	dispersion Dispersion parameter, only applicable to Tweedie family (input/output) and fractional Binomial (output only)
double	lambda1se Lambda best + 1 standard error.
double	lambdaBest Lambda minimizing the objective value, only applicable with lambda search or when arrays of alpha and lambdas are provided
double	lambdaMax Starting lambda value used when lambda search is enabled.
double	lambdaMin Minimum lambda value calculated that may be used for lambda search.
TwoDimTableV3	randomCoefficientsTable Table of Random Coefficients for HGLM
TwoDimTableV3	standardizedCoefficientMagnitudes Standardized Coefficient Magnitudes
TwoDimTableV3	variableImportances Variable Importances

Fields inherited from class water.bindings.pojos.ModelOutputSchemaV3

columnTypes, crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, cvScoringHistory, defaultThreshold, domains, endTime, help, modelCategory, modelSummary, names, originalNames, reproducibilityInformationTable, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics

Constructor Summary

Constructors

Constructor and Description
GLMModelOutputV3() Public constructor

Method Summary

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

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

Field Detail

coefficientsTable

@SerializedName(value="coefficients_table")
public TwoDimTableV3 coefficientsTable

Table of Coefficients

randomCoefficientsTable

@SerializedName(value="random_coefficients_table")
public TwoDimTableV3 randomCoefficientsTable

Table of Random Coefficients for HGLM

coefficientsTableMultinomialsWithClassNames

@SerializedName(value="coefficients_table_multinomials_with_class_names")
public TwoDimTableV3 coefficientsTableMultinomialsWithClassNames

Table of Coefficients with coefficients denoted with class names for GLM multinonimals only.

standardizedCoefficientMagnitudes

@SerializedName(value="standardized_coefficient_magnitudes")
public TwoDimTableV3 standardizedCoefficientMagnitudes

Standardized Coefficient Magnitudes

variableImportances

@SerializedName(value="variable_importances")
public TwoDimTableV3 variableImportances

Variable Importances

lambdaBest

@SerializedName(value="lambda_best")
public double lambdaBest

Lambda minimizing the objective value, only applicable with lambda search or when arrays of alpha and lambdas are provided

alphaBest

@SerializedName(value="alpha_best")
public double alphaBest

Alpha minimizing the objective value, only applicable when arrays of alphas are given

bestSubmodelIndex

@SerializedName(value="best_submodel_index")
public int bestSubmodelIndex

submodel index minimizing the objective value, only applicable for arrays of alphas/lambda

lambda1se

@SerializedName(value="lambda_1se")
public double lambda1se

Lambda best + 1 standard error. Only applicable with lambda search and cross-validation

lambdaMin

@SerializedName(value="lambda_min")
public double lambdaMin

Minimum lambda value calculated that may be used for lambda search. Early-stop may happen and the minimum lambda value will not be used in this case.

lambdaMax

@SerializedName(value="lambda_max")
public double lambdaMax

Starting lambda value used when lambda search is enabled.

dispersion

public double dispersion

Dispersion parameter, only applicable to Tweedie family (input/output) and fractional Binomial (output only)

Constructor Detail

GLMModelOutputV3

public GLMModelOutputV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelOutputSchemaV3