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)
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

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, 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)