hex

Class ModelMetricsBinomial

java.lang.Object

water.Iced<T>

water.Keyed

hex.ModelMetrics

hex.ModelMetricsSupervised

hex.ModelMetricsBinomial

All Implemented Interfaces:

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

public class ModelMetricsBinomial
extends ModelMetricsSupervised

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ModelMetricsBinomial.MetricBuilderBinomial

Nested classes/interfaces inherited from class hex.ModelMetricsSupervised

ModelMetricsSupervised.MetricBuilderSupervised

Nested classes/interfaces inherited from class hex.ModelMetrics

ModelMetrics.MetricBuilder

Field Summary

Fields

Modifier and Type	Field and Description
AUCData	_aucdata
ConfusionMatrix	_cm

Fields inherited from class hex.ModelMetricsSupervised

_sigma

Fields inherited from class hex.ModelMetrics

_mse

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
ModelMetricsBinomial(Model model, Frame frame)
ModelMetricsBinomial(Model model, Frame frame, AUCData aucdata, double sigma, double mse)

Method Summary

Methods

Modifier and Type	Method and Description
AUCData	auc()
ConfusionMatrix	cm()
static ModelMetricsBinomial	getFromDKV(Model model, Frame frame)

Methods inherited from class hex.ModelMetricsSupervised

r2

Methods inherited from class hex.ModelMetrics

checksum_impl, frame, hr, isForFrame, isForModel, model

Methods inherited from class water.Keyed

checksum, remove_impl, remove, remove, remove, remove

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

_aucdata

public final AUCData _aucdata

_cm

public final ConfusionMatrix _cm

Constructor Detail

ModelMetricsBinomial

public ModelMetricsBinomial(Model model,
                    Frame frame)

ModelMetricsBinomial

public ModelMetricsBinomial(Model model,
                    Frame frame,
                    AUCData aucdata,
                    double sigma,
                    double mse)

Method Detail

cm

public ConfusionMatrix cm()

Overrides:

cm in class ModelMetrics

auc

public AUCData auc()

Overrides:

auc in class ModelMetrics

getFromDKV

public static ModelMetricsBinomial getFromDKV(Model model,
                              Frame frame)