hex

Class ModelMetricsBinomial

java.lang.Object

water.Iced<T>

water.Keyed<ModelMetrics>

hex.ModelMetrics

hex.ModelMetricsSupervised

hex.ModelMetricsBinomial

All Implemented Interfaces:

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

Direct Known Subclasses:

ModelMetricsBinomialGLM

public class ModelMetricsBinomial
extends ModelMetricsSupervised

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

Nested classes/interfaces inherited from class hex.ModelMetricsSupervised

ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>>

Nested classes/interfaces inherited from class hex.ModelMetrics

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

Field Summary

Fields

Modifier and Type	Field and Description
AUC2	_auc
GainsLift	_gainsLift
double	_logloss

Fields inherited from class hex.ModelMetricsSupervised

_domain, _sigma

Fields inherited from class hex.ModelMetrics

_description, _MSE, _scoring_time

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
ModelMetricsBinomial(Model model, Frame frame, double mse, java.lang.String[] domain, double sigma, AUC2 auc, double logloss, GainsLift gainsLift)

Method Summary

Methods

Modifier and Type	Method and Description
double	accuracy()
AUC2	auc_obj()
double	auc()
ConfusionMatrix	cm()
double	err()
double	errCount()
double	F0point5()
double	F1()
double	F2()
GainsLift	gainsLift()
static ModelMetricsBinomial	getFromDKV(Model model, Frame frame)
double	logloss()
double	max_per_class_error()
double	mcc()
double	precision()
double	recall()
double	specificity()
java.lang.String	toString()

Methods inherited from class hex.ModelMetricsSupervised

r2

Methods inherited from class hex.ModelMetrics

buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, frame, hr, isForFrame, isForModel, model, mse, residualDegreesOfFreedom, sortModelsByMetric

Methods inherited from class water.Keyed

checksum, readAll_impl, readAll, remove_impl, remove, remove, remove, remove, writeAll_impl, writeAll

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

_auc

public final AUC2 _auc

_logloss

public final double _logloss

_gainsLift

public final GainsLift _gainsLift

Constructor Detail

ModelMetricsBinomial

public ModelMetricsBinomial(Model model,
                    Frame frame,
                    double mse,
                    java.lang.String[] domain,
                    double sigma,
                    AUC2 auc,
                    double logloss,
                    GainsLift gainsLift)

Method Detail

getFromDKV

public static ModelMetricsBinomial getFromDKV(Model model,
                              Frame frame)

toString

public java.lang.String toString()

Overrides:

toString in class ModelMetricsSupervised

logloss

public double logloss()

auc_obj

public AUC2 auc_obj()

Overrides:

auc_obj in class ModelMetrics

cm

public ConfusionMatrix cm()

Overrides:

cm in class ModelMetrics

gainsLift

public GainsLift gainsLift()

auc

public double auc()

Overrides:

auc in class ModelMetrics

err

public double err()

errCount

public double errCount()

accuracy

public double accuracy()

specificity

public double specificity()

recall

public double recall()

precision

public double precision()

mcc

public double mcc()

max_per_class_error

public double max_per_class_error()

F1

public double F1()

F2

public double F2()

F0point5

public double F0point5()