water.bindings.pojos

Class DeepLearningModelOutputV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelOutputSchemaV3

water.bindings.pojos.DeepLearningModelOutputV3

public class DeepLearningModelOutputV3
extends ModelOutputSchemaV3

Field Summary

Fields

Modifier and Type	Field and Description
FrameKeyV3[]	biases Frame keys for bias vectors
int[]	catoffsets Categorical offsets for one-hot encoding
double[]	normmul Normalization/Standardization multipliers for numeric predictors
double[]	normrespmul Normalization/Standardization multipliers for numeric response
double[]	normrespsub Normalization/Standardization offsets for numeric response
double[]	normsub Normalization/Standardization offsets for numeric predictors
TwoDimTableV3	variableImportances Variable Importances
FrameKeyV3[]	weights Frame keys for weight matrices

Fields inherited from class water.bindings.pojos.ModelOutputSchemaV3

crossValidationFoldAssignmentFrameId, crossValidationHoldoutPredictionsFrameId, crossValidationMetrics, crossValidationMetricsSummary, crossValidationModels, crossValidationPredictions, domains, endTime, help, modelCategory, modelSummary, names, runTime, scoringHistory, startTime, status, trainingMetrics, validationMetrics

Constructor Summary

Constructors

Constructor and Description
DeepLearningModelOutputV3() 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

weights

public FrameKeyV3[] weights

Frame keys for weight matrices

biases

public FrameKeyV3[] biases

Frame keys for bias vectors

normmul

public double[] normmul

Normalization/Standardization multipliers for numeric predictors

normsub

public double[] normsub

Normalization/Standardization offsets for numeric predictors

normrespmul

public double[] normrespmul

Normalization/Standardization multipliers for numeric response

normrespsub

public double[] normrespsub

Normalization/Standardization offsets for numeric response

catoffsets

public int[] catoffsets

Categorical offsets for one-hot encoding

variableImportances

public TwoDimTableV3 variableImportances

Variable Importances

Constructor Detail

DeepLearningModelOutputV3

public DeepLearningModelOutputV3()

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