hex

Class ModelMetricsBinomialUplift.MetricBuilderBinomialUplift

java.lang.Object

water.Iced<T>

hex.ModelMetrics.MetricBuilder<T>

hex.ModelMetricsSupervised.MetricBuilderSupervised<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

hex.ModelMetricsBinomialUplift.MetricBuilderBinomialUplift

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

Enclosing class:

ModelMetricsBinomialUplift

public static class ModelMetricsBinomialUplift.MetricBuilderBinomialUplift
extends ModelMetricsSupervised.MetricBuilderSupervised<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected AUUC.AUUCBuilder	_auuc
double	_sumTE
double	_sumTETreatment
long	_treatmentCount

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
MetricBuilderBinomialUplift(java.lang.String[] domain, double[] thresholds)

Method Summary

Modifier and Type	Method and Description
void	cachePrediction(double[] cdist, Chunk[] chks, int row, int cacheChunkIdx, Model m)
ModelMetrics	makeModelMetrics(Model m, Frame f, AUUC auuc)
ModelMetrics	makeModelMetrics(Model m, Frame f, Frame frameWithExtraColumns, Frame preds) Create a ModelMetrics for a given model and frame
Frame	makePredictionCache(Model m, Vec response)
double[]	perRow(double[] ds, float[] yact, double weight, double offset, Model m)
double[]	perRow(double[] ds, float[] yact, Model m)
void	reduce(ModelMetricsBinomialUplift.MetricBuilderBinomialUplift mb)
java.lang.String	toString()

Methods inherited from class hex.ModelMetrics.MetricBuilder

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, wait, wait, wait

Field Detail

_auuc

protected AUUC.AUUCBuilder _auuc

_sumTE

public double _sumTE

_sumTETreatment

public double _sumTETreatment

_treatmentCount

public long _treatmentCount

Constructor Detail

MetricBuilderBinomialUplift

public MetricBuilderBinomialUplift(java.lang.String[] domain,
                                   double[] thresholds)

Method Detail

perRow

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

Specified by:

perRow in class ModelMetrics.MetricBuilder<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

perRow

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

Overrides:

perRow in class ModelMetrics.MetricBuilder<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

reduce

public void reduce(ModelMetricsBinomialUplift.MetricBuilderBinomialUplift mb)

Overrides:

reduce in class ModelMetrics.MetricBuilder<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

makeModelMetrics

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

Create a ModelMetrics for a given model and frame

Specified by:

makeModelMetrics in class ModelMetrics.MetricBuilder<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

Parameters:

m - Model

f - Frame

frameWithExtraColumns - Frame that contains extra columns such as weights

preds - Optional predictions (can be null), only used to compute Gains/Lift table for binomial problems @return

Returns:

ModelMetricsBinomialUplift

makeModelMetrics

public ModelMetrics makeModelMetrics(Model m,
                                     Frame f,
                                     AUUC auuc)

makePredictionCache

public Frame makePredictionCache(Model m,
                                 Vec response)

Overrides:

makePredictionCache in class ModelMetrics.MetricBuilder<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

cachePrediction

public void cachePrediction(double[] cdist,
                            Chunk[] chks,
                            int row,
                            int cacheChunkIdx,
                            Model m)

Overrides:

cachePrediction in class ModelMetrics.MetricBuilder<ModelMetricsBinomialUplift.MetricBuilderBinomialUplift>

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object