hex.deeplearning

Class DeepLearningModel.DeepLearningModelOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.deeplearning.DeepLearningModel.DeepLearningModelOutput

All Implemented Interfaces:

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

Enclosing class:

DeepLearningModel

public static class DeepLearningModel.DeepLearningModelOutput
extends hex.Model.Output

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)

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

_column_types, _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, _cv_scoring_history, _defaultThreshold, _distribution, _domains, _end_time, _hasFold, _hasOffset, _hasTreatment, _hasWeights, _isSupervised, _job, _model_summary, _modelClassDist, _names, _orig_projection_array, _origDomains, _origNames, _priorClassDist, _reproducibility_information_table, _run_time, _scoring_history, _start_time, _total_run_time, _training_metrics, _validation_metrics

Constructor Summary

Constructors

Constructor and Description
DeepLearningModelOutput(DeepLearning b)

Method Summary

Modifier and Type	Method and Description
hex.ModelCategory	getModelCategory()
water.util.TwoDimTable	getVariableImportances()
boolean	isAutoencoder()
boolean	isSupervised()

Methods inherited from class hex.Model.Output

changeModelMetricsKey, checksum_impl, classNames, clearModelMetrics, createInputFramesInformationTable, defaultThreshold, features, foldIdx, foldName, getInformationTableNumRows, getModelMetrics, hasFold, hasOffset, hasResponse, hasTreatment, hasWeights, interactionBuilder, isBinomialClassifier, isClassifier, isMultinomialClassifier, lastSpecialColumnIdx, nclasses, nfeatures, offsetIdx, offsetName, printTwoDimTables, resetThreshold, responseIdx, responseName, setNames, setNames, startClock, stopClock, toString, treatmentIdx, treatmentName, weightsIdx, weightsName

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, 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

DeepLearningModelOutput

public DeepLearningModelOutput(DeepLearning b)

Method Detail

isAutoencoder

public boolean isAutoencoder()

Overrides:

isAutoencoder in class hex.Model.Output

getVariableImportances

public water.util.TwoDimTable getVariableImportances()

Overrides:

getVariableImportances 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