public class GLMModelOutputV3 extends ModelOutputSchemaV3
| Modifier and Type | Field and Description |
|---|---|
boolean |
allConstraintsSatisfied
True if all constraints conditions are satisfied.
|
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
|
java.lang.String[] |
coefficientNames
GLM model coefficients names.
|
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 |
linearConstraintsTable
Table of beta (if exists) and linear constraints values and status
|
java.lang.String[] |
linearConstraintStates
Beta (if exists) and linear constraints states
|
FrameKeyV3 |
regressionInfluenceDiagnostics
Contains the original dataset and the dfbetas calculated for each predictor.
|
TwoDimTableV3 |
standardizedCoefficientMagnitudes
Standardized Coefficient Magnitudes
|
TwoDimTableV3 |
variableImportances
Variable Importances
|
double[] |
variableInflationFactors
predictor variable inflation factors.
|
java.lang.String[] |
vifPredictorNames
Predictor names where variable inflation factors are calculated.
|
columnTypes, crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, cvScoringHistory, defaultThreshold, domains, endTime, help, modelCategory, modelSummary, names, originalNames, reproducibilityInformationTable, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics| Constructor and Description |
|---|
GLMModelOutputV3()
Public constructor
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
toString()
Return the contents of this object as a JSON String.
|
@SerializedName(value="coefficients_table") public TwoDimTableV3 coefficientsTable
@SerializedName(value="coefficients_table_multinomials_with_class_names") public TwoDimTableV3 coefficientsTableMultinomialsWithClassNames
@SerializedName(value="standardized_coefficient_magnitudes") public TwoDimTableV3 standardizedCoefficientMagnitudes
@SerializedName(value="variable_importances") public TwoDimTableV3 variableImportances
@SerializedName(value="lambda_best") public double lambdaBest
@SerializedName(value="alpha_best") public double alphaBest
@SerializedName(value="best_submodel_index") public int bestSubmodelIndex
@SerializedName(value="lambda_1se") public double lambda1se
@SerializedName(value="lambda_min") public double lambdaMin
@SerializedName(value="lambda_max") public double lambdaMax
public double dispersion
@SerializedName(value="vif_predictor_names") public java.lang.String[] vifPredictorNames
@SerializedName(value="coefficient_names") public java.lang.String[] coefficientNames
@SerializedName(value="variable_inflation_factors") public double[] variableInflationFactors
@SerializedName(value="linear_constraint_states") public java.lang.String[] linearConstraintStates
@SerializedName(value="linear_constraints_table") public TwoDimTableV3 linearConstraintsTable
@SerializedName(value="regression_influence_diagnostics") public FrameKeyV3 regressionInfluenceDiagnostics
@SerializedName(value="all_constraints_satisfied") public boolean allConstraintsSatisfied
public java.lang.String toString()
toString in class ModelOutputSchemaV3