hex.deepwater

Class DeepWaterModelOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.deepwater.DeepWaterModelOutput

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

public class DeepWaterModelOutput
extends hex.Model.Output

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
water.util.TwoDimTable	_variable_importances

Fields inherited from class hex.Model.Output

_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, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _origDomains, _origNames, _priorClassDist, _run_time, _scoring_history, _start_time, _training_metrics, _validation_metrics

Constructor Summary

Constructors

Constructor and Description
DeepWaterModelOutput(DeepWater b) The Deep Learning model output contains a few extra fields in addition to the metrics in Model.Output 1) Scoring history (raw data) 2) weights/biases (raw data) 3) variable importances (TwoDimTable)

Method Summary

Methods

Modifier and Type	Method and Description
hex.ModelCategory	getModelCategory()
boolean	isAutoencoder()
boolean	isSupervised()

Methods inherited from class hex.Model.Output

checksum_impl, classNames, clearModelMetrics, foldIdx, foldName, getModelMetrics, hasFold, hasOffset, hasWeights, interactions, isBinomialClassifier, isClassifier, nclasses, nfeatures, offsetIdx, offsetName, printTwoDimTables, responseIdx, responseName, setNames, startClock, stopClock, toString, weightsIdx, weightsName

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

_variable_importances

public water.util.TwoDimTable _variable_importances

Constructor Detail

DeepWaterModelOutput

public DeepWaterModelOutput(DeepWater b)

The Deep Learning model output contains a few extra fields in addition to the metrics in Model.Output 1) Scoring history (raw data) 2) weights/biases (raw data) 3) variable importances (TwoDimTable)

Method Detail

isAutoencoder

public boolean isAutoencoder()

Overrides:

isAutoencoder in class hex.Model.Output

getModelCategory

public hex.ModelCategory getModelCategory()

Overrides:

getModelCategory in class hex.Model.Output

isSupervised

public boolean isSupervised()

Overrides:

isSupervised in class hex.Model.Output