water.bindings.pojos

Class ModelMetricsListSchemaV3

java.lang.Object

water.bindings.pojos.Schema

water.bindings.pojos.RequestSchema

water.bindings.pojos.ModelMetricsListSchemaV3

public class ModelMetricsListSchemaV3
extends RequestSchema

Field Summary

Fields

Modifier and Type	Field and Description
int	deep_features_hidden_layer Extract Deep Features for given hidden layer (optional, only for Deep Learning models)
int	exemplar_index Retrieve all members for a given exemplar (optional, only for Aggregator models)
FrameKeyV3	frame Key of Frame of interest (optional)
boolean	leaf_node_assignment Return the leaf node assignment (optional, only for DRF/GBM models)
ModelKeyV3	model Key of Model of interest (optional)
ModelMetricsBase[]	model_metrics ModelMetrics
FrameKeyV3	predictions_frame Key of predictions frame, if predictions are requested (optional)
boolean	project_archetypes Project GLRM archetypes back into original feature space (optional, only for GLRM models)
boolean	reconstruct_train Reconstruct original training frame (optional, only for GLRM models)
boolean	reconstruction_error Compute reconstruction error (optional, only for Deep Learning AutoEncoder models)
boolean	reconstruction_error_per_feature Compute reconstruction error per feature (optional, only for Deep Learning AutoEncoder models)
boolean	reverse_transform Reverse transformation applied during training to model output (optional, only for GLRM models)

Fields inherited from class water.bindings.pojos.RequestSchema

_exclude_fields

Constructor Summary

Constructors

Constructor and Description
ModelMetricsListSchemaV3()

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

model

public ModelKeyV3 model

Key of Model of interest (optional)

frame

public FrameKeyV3 frame

Key of Frame of interest (optional)

predictions_frame

public FrameKeyV3 predictions_frame

Key of predictions frame, if predictions are requested (optional)

reconstruction_error

public boolean reconstruction_error

Compute reconstruction error (optional, only for Deep Learning AutoEncoder models)

reconstruction_error_per_feature

public boolean reconstruction_error_per_feature

Compute reconstruction error per feature (optional, only for Deep Learning AutoEncoder models)

deep_features_hidden_layer

public int deep_features_hidden_layer

Extract Deep Features for given hidden layer (optional, only for Deep Learning models)

reconstruct_train

public boolean reconstruct_train

Reconstruct original training frame (optional, only for GLRM models)

project_archetypes

public boolean project_archetypes

Project GLRM archetypes back into original feature space (optional, only for GLRM models)

reverse_transform

public boolean reverse_transform

Reverse transformation applied during training to model output (optional, only for GLRM models)

leaf_node_assignment

public boolean leaf_node_assignment

Return the leaf node assignment (optional, only for DRF/GBM models)

exemplar_index

public int exemplar_index

Retrieve all members for a given exemplar (optional, only for Aggregator models)

model_metrics

public ModelMetricsBase[] model_metrics

ModelMetrics

Constructor Detail

ModelMetricsListSchemaV3

public ModelMetricsListSchemaV3()

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class RequestSchema