hex

Class ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegression.MetricBuilderRegression<T>>

java.lang.Object

water.Iced<T>

hex.ModelMetrics.MetricBuilder<T>

hex.ModelMetricsSupervised.MetricBuilderSupervised<T>

hex.ModelMetricsRegression.MetricBuilderRegression<T>

All Implemented Interfaces:

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

Direct Known Subclasses:

ModelMetricsRegressionCoxPH.MetricBuilderRegressionCoxPH

Enclosing class:

ModelMetricsRegression

public static class ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegression.MetricBuilderRegression<T>>
extends ModelMetricsSupervised.MetricBuilderSupervised<T>

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected double	_loglikelihood

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
MetricBuilderRegression()
MetricBuilderRegression(Distribution dist)

Method Summary

Modifier and Type	Method and Description
ModelMetricsRegression	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

Constructor Detail

MetricBuilderRegression

public MetricBuilderRegression()

MetricBuilderRegression

public MetricBuilderRegression(Distribution dist)

Method Detail

perRow

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

Specified by:

perRow in class ModelMetrics.MetricBuilder<T extends ModelMetricsRegression.MetricBuilderRegression<T>>

perRow

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

Overrides:

perRow in class ModelMetrics.MetricBuilder<T extends ModelMetricsRegression.MetricBuilderRegression<T>>

reduce

public void reduce(T mb)

Overrides:

reduce in class ModelMetrics.MetricBuilder<T extends ModelMetricsRegression.MetricBuilderRegression<T>>

makeModelMetrics

public ModelMetricsRegression 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 ModelMetricsRegression.MetricBuilderRegression<T>>

Parameters:

m - Model

f - Scored Frame

adaptedFrame - Adapted Frame

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