hex.kmeans

Class KMeansModel.KMeansOutput

java.lang.Object

water.Iced

hex.Model.Output

hex.ClusteringModel.ClusteringOutput

hex.kmeans.KMeansModel.KMeansOutput

All Implemented Interfaces:

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

Enclosing class:

KMeansModel

public static class KMeansModel.KMeansOutput
extends hex.ClusteringModel.ClusteringOutput

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double[]	_avg_centroids_chg
double	_betweenss
int	_categorical_column_count
double[]	_history_withinss
int	_iterations
long[]	_size
double	_tot_withinss
double	_totss
long[]	_training_time_ms
double[]	_withinss

Fields inherited from class hex.ClusteringModel.ClusteringOutput

_centers_raw, _centers_std_raw, _normMul, _normSub

Fields inherited from class hex.Model.Output

_distribution, _domains, _hasOffset, _hasWeights, _isSupervised, _model_metrics, _model_summary, _modelClassDist, _names, _priorClassDist, _scoring_history, _state, _training_metrics, _validation_metrics

Constructor Summary

Constructors

Constructor and Description
KMeansModel.KMeansOutput(KMeans b)

Method Summary

Methods inherited from class hex.ClusteringModel.ClusteringOutput

getModelCategory, isSupervised, nclasses

Methods inherited from class hex.Model.Output

addModelMetrics, classNames, hasOffset, hasWeights, isClassifier, nfeatures, offsetIdx, offsetName, responseIdx, responseName, toString, weightsIdx, weightsName

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

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

Field Detail

_iterations

public int _iterations

_avg_centroids_chg

public double[] _avg_centroids_chg

_withinss

public double[] _withinss

_size

public long[] _size

_tot_withinss

public double _tot_withinss

_history_withinss

public double[] _history_withinss

_totss

public double _totss

_betweenss

public double _betweenss

_categorical_column_count

public int _categorical_column_count

_training_time_ms

public long[] _training_time_ms

Constructor Detail

KMeansModel.KMeansOutput

public KMeansModel.KMeansOutput(KMeans b)