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

_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, Frame adaptedFrame, Frame preds) Having computed a MetricBuilder, this method fills in a ModelMetrics
double[]	perRow(double[] preds, float[] dataRow, Model m)
void	reduce(ModelMetricsClustering.MetricBuilderClustering mm)

Methods inherited from class hex.ModelMetrics.MetricBuilder

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

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, 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>

makeModelMetrics

public ModelMetrics makeModelMetrics(Model m,
                                     Frame f,
                                     Frame adaptedFrame,
                                     Frame preds)

Description copied from class: ModelMetrics.MetricBuilder

Having computed a MetricBuilder, this method fills in a ModelMetrics

Specified by:

makeModelMetrics in class ModelMetrics.MetricBuilder<ModelMetricsClustering.MetricBuilderClustering>

Parameters:

m - Model

f - Scored Frame

adaptedFrame - Adapted Frame

preds - Predictions of m on f (optional) @return Filled Model Metrics object