water.bindings.pojos

Class DeepLearningModelOutputV3

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.ModelOutputSchema

water.bindings.pojos.DeepLearningModelOutputV3

public class DeepLearningModelOutputV3
extends ModelOutputSchema

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	variable_importances Variable Importances
FrameKeyV3[]	weights Frame keys for weight matrices

Fields inherited from class water.bindings.pojos.ModelOutputSchema

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, domains, end_time, help, model_category, model_summary, names, run_time, scoring_history, start_time, status, training_metrics, validation_metrics

Constructor Summary

Constructors

Constructor and Description
DeepLearningModelOutputV3()

Method Summary

Methods

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

variable_importances

public TwoDimTableV3 variable_importances

Variable Importances

Constructor Detail

DeepLearningModelOutputV3

public DeepLearningModelOutputV3()

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelOutputSchema