hex

Class ModelMetricsClustering.MetricBuilderClustering

java.lang.Object

water.Iced<T>

hex.ModelMetrics.MetricBuilder<T>

hex.ModelMetricsUnsupervised.MetricBuilderUnsupervised<ModelMetricsClustering.MetricBuilderClustering>

hex.ModelMetricsClustering.MetricBuilderClustering

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable<ModelMetricsClustering.MetricBuilderClustering>

Enclosing class:

ModelMetricsClustering

public static class ModelMetricsClustering.MetricBuilderClustering
extends ModelMetricsUnsupervised.MetricBuilderUnsupervised<ModelMetricsClustering.MetricBuilderClustering>

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
long[]	_size
double[]	_within_sumsqe

Fields inherited from class hex.ModelMetrics.MetricBuilder

_CMetricScoringTask, _count, _customMetric, _sumsqe, _wcount, _work, _wY, _wYY

Constructor Summary

Constructors

Constructor and Description
MetricBuilderClustering(int ncol, int nclust)

Method Summary

Modifier and Type	Method and Description
ModelMetrics	makeModelMetrics(Model m, Frame f)
double[]	perRow(double[] preds, float[] dataRow, Model m)
void	reduce(ModelMetricsClustering.MetricBuilderClustering mm)
void	reduceForCV(ModelMetricsClustering.MetricBuilderClustering mm) Reduce the Metric builder clustering for CV without cluster statistics.

Methods inherited from class hex.ModelMetricsUnsupervised.MetricBuilderUnsupervised

makeModelMetrics

Methods inherited from class hex.ModelMetrics.MetricBuilder

cachePrediction, makePredictionCache, perRow, postGlobal, postGlobal, reduce, setCustomMetric, weightedSigma

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, toString, wait, wait, wait

Field Detail

_size

public long[] _size

_within_sumsqe

public double[] _within_sumsqe

Constructor Detail

MetricBuilderClustering

public MetricBuilderClustering(int ncol,
                               int nclust)

Method Detail

perRow

public double[] perRow(double[] preds,
                       float[] dataRow,
                       Model m)

Specified by:

perRow in class ModelMetrics.MetricBuilder<ModelMetricsClustering.MetricBuilderClustering>

reduce

public void reduce(ModelMetricsClustering.MetricBuilderClustering mm)

Overrides:

reduce in class ModelMetrics.MetricBuilder<ModelMetricsClustering.MetricBuilderClustering>

reduceForCV

public void reduceForCV(ModelMetricsClustering.MetricBuilderClustering mm)

Reduce the Metric builder clustering for CV without cluster statistics.

Overrides:

reduceForCV in class ModelMetrics.MetricBuilder<ModelMetricsClustering.MetricBuilderClustering>

Parameters:

mm - metric builder to be reduced

makeModelMetrics

public ModelMetrics makeModelMetrics(Model m,
                                     Frame f)

Specified by:

makeModelMetrics in class ModelMetricsUnsupervised.MetricBuilderUnsupervised<ModelMetricsClustering.MetricBuilderClustering>