water.bindings.pojos

Class ModelSelectionModelOutputV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelOutputSchemaV3

water.bindings.pojos.ModelSelectionModelOutputV3

public class ModelSelectionModelOutputV3
extends ModelOutputSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
ModelKeyV3[]	bestModelIds Key of models containing best 1-predictor model, best 2-predictors model, ....
java.lang.String[][]	bestPredictorsSubset Names of predictors in the best predictor subset
double[]	bestR2Values R2 values of all possible predictor subsets.
java.lang.String[][]	coefficientNames arrays of string arrays containing coefficient names of best 1-predictor model, best 2-predictors model, ....
double[][]	coefficientValues store coefficient values for each predictor subset.
double[][]	coefficientValuesNormalized store standardized coefficient values for each predictor subset.
double[][]	coefPValues p-values of chosen predictor subsets at each subset size.
java.lang.String[][]	predictorsAddedPerStep at each predictor subset size, the predictor added is collected in this array.
java.lang.String[][]	predictorsRemovedPerStep at each predictor subset size, the predictor removed is collected in this array.
double[][]	zValues z-values of chosen predictor subsets at each subset size.

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
ModelSelectionModelOutputV3() 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

bestPredictorsSubset

@SerializedName(value="best_predictors_subset")
public java.lang.String[][] bestPredictorsSubset

Names of predictors in the best predictor subset

bestR2Values

@SerializedName(value="best_r2_values")
public double[] bestR2Values

R2 values of all possible predictor subsets. Only for mode='allsubsets' or 'maxr'.

predictorsAddedPerStep

@SerializedName(value="predictors_added_per_step")
public java.lang.String[][] predictorsAddedPerStep

at each predictor subset size, the predictor added is collected in this array. Not for mode = 'backward'.

predictorsRemovedPerStep

@SerializedName(value="predictors_removed_per_step")
public java.lang.String[][] predictorsRemovedPerStep

at each predictor subset size, the predictor removed is collected in this array.

coefPValues

@SerializedName(value="coef_p_values")
public double[][] coefPValues

p-values of chosen predictor subsets at each subset size. Only for model='backward'.

zValues

@SerializedName(value="z_values")
public double[][] zValues

z-values of chosen predictor subsets at each subset size. Only for model='backward'.

bestModelIds

@SerializedName(value="best_model_ids")
public ModelKeyV3[] bestModelIds

Key of models containing best 1-predictor model, best 2-predictors model, ....

coefficientNames

@SerializedName(value="coefficient_names")
public java.lang.String[][] coefficientNames

arrays of string arrays containing coefficient names of best 1-predictor model, best 2-predictors model, ....

coefficientValues

@SerializedName(value="coefficient_values")
public double[][] coefficientValues

store coefficient values for each predictor subset. Only for maxrsweep when build_glm_model is false.

coefficientValuesNormalized

@SerializedName(value="coefficient_values_normalized")
public double[][] coefficientValuesNormalized

store standardized coefficient values for each predictor subset. Only for maxrsweep when build_glm_model is false.

Constructor Detail

ModelSelectionModelOutputV3

public ModelSelectionModelOutputV3()

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