hex

Class ClusteringModel.ClusteringOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.ClusteringModel.ClusteringOutput

All Implemented Interfaces:

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

Enclosing class:

ClusteringModel<M extends ClusteringModel<M,P,O>,P extends ClusteringModel.ClusteringParameters,O extends ClusteringModel.ClusteringOutput>

public abstract static class ClusteringModel.ClusteringOutput
extends Model.Output

Output from all Clustering Models, includes generated clusters

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double[][]	_centers_raw Cluster centers_raw.
double[][]	_centers_std_raw
int[]	_mode
double[]	_normMul
double[]	_normSub
long[]	_size

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
ClusteringOutput()
ClusteringOutput(ClusteringModelBuilder b) Any final prep-work just before model-building starts, but after the user has clicked "go".

Method Summary

Modifier and Type	Method and Description
hex.ModelCategory	getModelCategory()
boolean	isSupervised()
int	nclasses() Number of classes in the response column if it is categorical and the model is supervised.

Methods inherited from class hex.Model.Output

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

_centers_raw

public double[][] _centers_raw

Cluster centers_raw. During model init, might be null or might have a "k" which is oversampled a lot. Not standardized (although if standardization is used during the building process, the *builders* cluster centers_raw are standardized).

_centers_std_raw

public double[][] _centers_std_raw

_normSub

public double[] _normSub

_normMul

public double[] _normMul

_mode

public int[] _mode

_size

public long[] _size

Constructor Detail

ClusteringOutput

public ClusteringOutput()

ClusteringOutput

public ClusteringOutput(ClusteringModelBuilder b)

Any final prep-work just before model-building starts, but after the user has clicked "go".

Method Detail

isSupervised

public boolean isSupervised()

Overrides:

isSupervised in class Model.Output

nclasses

public int nclasses()

Description copied from class: Model.Output

Number of classes in the response column if it is categorical and the model is supervised.

Overrides:

nclasses in class Model.Output

getModelCategory

public hex.ModelCategory getModelCategory()

Overrides:

getModelCategory in class Model.Output