hex

Class ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>

java.lang.Object

water.Iced

hex.ModelMetrics.MetricBuilder<T>

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable

Direct Known Subclasses:

ModelMetricsSupervised.MetricBuilderSupervised, ModelMetricsUnsupervised.MetricBuilderUnsupervised

Enclosing class:

ModelMetrics

public abstract static class ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>
extends Iced

Class used to compute AUCs, CMs & HRs "on the fly" during other passes over Big Data. This class is intended to be embedded in other MRTask objects. The perRow method is called once-per-scored-row, and the reduce method called once per MRTask.reduce, and the <init> called once per MRTask.map.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
long	_count
double	_sumsqe
double	_wcount
double[]	_work
double	_wY
double	_wYY

Constructor Summary

Constructors

Constructor and Description
ModelMetrics.MetricBuilder()

Method Summary

Methods

Modifier and Type	Method and Description
abstract 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 weight, double offset, Model m)
abstract double[]	perRow(double[] ds, float[] yact, Model m)
void	postGlobal()
void	reduce(T mb)
double	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

_work

public transient double[] _work

_sumsqe

public double _sumsqe

_count

public long _count

_wcount

public double _wcount

_wY

public double _wY

_wYY

public double _wYY

Constructor Detail

ModelMetrics.MetricBuilder

public ModelMetrics.MetricBuilder()

Method Detail

weightedSigma

public double weightedSigma()

perRow

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

perRow

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

reduce

public void reduce(T mb)

postGlobal

public void postGlobal()

makeModelMetrics

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

Having computed a MetricBuilder, this method fills in a ModelMetrics

Parameters:

m - Model

f - Scored Frame

adaptedFrame - Adapted Frame

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