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
java.lang.String	_exclude_fields Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"
int	deep_features_hidden_layer Extract Deep Features for given hidden layer (optional, only for Deep Learning models)
java.lang.String	frame Key of Frame of interest (optional)
java.lang.String	model Key of Model of interest (optional)
ModelMetricsBase[]	model_metrics ModelMetrics
java.lang.String	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)

Constructor Summary

Constructors

Constructor and Description
ModelMetricsListSchemaV3()

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

model

public java.lang.String model

Key of Model of interest (optional)

frame

public java.lang.String frame

Key of Frame of interest (optional)

predictions_frame

public java.lang.String 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)

model_metrics

public ModelMetricsBase[] model_metrics

ModelMetrics

_exclude_fields

public java.lang.String _exclude_fields

Comma-separated list of JSON field paths to exclude from the result, used like: "/3/Frames?_exclude_fields=frames/frame_id/URL,__meta"

Constructor Detail

ModelMetricsListSchemaV3

public ModelMetricsListSchemaV3()