hex

Class ModelMetricsMultinomial.MetricBuilderMultinomial<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>

java.lang.Object

water.Iced<T>

hex.ModelMetrics.MetricBuilder<T>

hex.ModelMetricsSupervised.MetricBuilderSupervised<T>

hex.ModelMetricsMultinomial.MetricBuilderMultinomial<T>

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable<T>

Enclosing class:

ModelMetricsMultinomial

public static class ModelMetricsMultinomial.MetricBuilderMultinomial<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>
extends ModelMetricsSupervised.MetricBuilderSupervised<T>

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double	_loglikelihood
double[]	_priorDistribution

Fields inherited from class hex.ModelMetricsSupervised.MetricBuilderSupervised

_domain, _nclasses

Fields inherited from class hex.ModelMetrics.MetricBuilder

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

Constructor Summary

Constructors

Constructor and Description
MetricBuilderMultinomial()
MetricBuilderMultinomial(int nclasses, java.lang.String[] domain, MultinomialAucType aucType)

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[] ds, float[] yact, double w, double o, Model m)
double[]	perRow(double[] ds, float[] yact, Model m)
void	reduce(T mb)

Methods inherited from class hex.ModelMetrics.MetricBuilder

cachePrediction, makePredictionCache, postGlobal, postGlobal, reduce, reduceForCV, 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

_loglikelihood

protected double _loglikelihood

_priorDistribution

public transient double[] _priorDistribution

Constructor Detail

MetricBuilderMultinomial

public MetricBuilderMultinomial()

MetricBuilderMultinomial

public MetricBuilderMultinomial(int nclasses,
                                java.lang.String[] domain,
                                MultinomialAucType aucType)

Method Detail

perRow

public double[] perRow(double[] ds,
                       float[] yact,
                       Model m)

Specified by:

perRow in class ModelMetrics.MetricBuilder<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>

perRow

public double[] perRow(double[] ds,
                       float[] yact,
                       double w,
                       double o,
                       Model m)

Overrides:

perRow in class ModelMetrics.MetricBuilder<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>

reduce

public void reduce(T mb)

Overrides:

reduce in class ModelMetrics.MetricBuilder<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>

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<T extends ModelMetricsMultinomial.MetricBuilderMultinomial<T>>

Parameters:

m - Model

f - Scored Frame

adaptedFrame - Adapted Frame

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