hex

Class ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

java.lang.Object

water.Iced<T>

hex.ModelMetrics.MetricBuilder<T>

hex.ModelMetricsSupervised.MetricBuilderSupervised<T>

hex.ModelMetricsBinomial.MetricBuilderBinomial<T>

All Implemented Interfaces:

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

Enclosing class:

ModelMetricsBinomial

public static class ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>
extends ModelMetricsSupervised.MetricBuilderSupervised<T>

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected AUC2.AUCBuilder	_auc
protected double	_logloss

Fields inherited from class hex.ModelMetricsSupervised.MetricBuilderSupervised

_domain, _nclasses

Fields inherited from class hex.ModelMetrics.MetricBuilder

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

Constructor Summary

Constructors

Constructor and Description
MetricBuilderBinomial(java.lang.String[] domain)

Method Summary

Modifier and Type	Method and Description
double	auc()
void	cachePrediction(double[] cdist, Chunk[] chks, int row, int cacheChunkIdx, Model m)
ModelMetrics	makeModelMetrics(Model m, Frame f, Frame frameWithWeights, Frame preds) Create a ModelMetrics for a given model and frame
Frame	makePredictionCache(Model m, Vec response)
double[]	perRow(double[] ds, float[] yact, double w, double o, Model m)
double[]	perRow(double[] ds, float[] yact, Model m)
double	pr_auc()
void	reduce(T mb)
java.lang.String	toString()

Methods inherited from class hex.ModelMetrics.MetricBuilder

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, wait, wait, wait

Field Detail

_logloss

protected double _logloss

_auc

protected AUC2.AUCBuilder _auc

Constructor Detail

MetricBuilderBinomial

public MetricBuilderBinomial(java.lang.String[] domain)

Method Detail

auc

public double auc()

pr_auc

public double pr_auc()

perRow

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

Specified by:

perRow in class ModelMetrics.MetricBuilder<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

perRow

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

Overrides:

perRow in class ModelMetrics.MetricBuilder<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

reduce

public void reduce(T mb)

Overrides:

reduce in class ModelMetrics.MetricBuilder<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

makeModelMetrics

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

Create a ModelMetrics for a given model and frame

Specified by:

makeModelMetrics in class ModelMetrics.MetricBuilder<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

Parameters:

m - Model

f - Frame

frameWithWeights - 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:

ModelMetricsBinomial

makePredictionCache

public Frame makePredictionCache(Model m,
                                 Vec response)

Overrides:

makePredictionCache in class ModelMetrics.MetricBuilder<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

cachePrediction

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

Overrides:

cachePrediction in class ModelMetrics.MetricBuilder<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object