hex

Class ModelMetricsRegressionGLM

java.lang.Object

water.Iced<T>

water.Keyed<ModelMetrics>

hex.ModelMetrics

hex.ModelMetricsSupervised

hex.ModelMetricsRegression

hex.ModelMetricsRegressionGLM

All Implemented Interfaces:

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

public class ModelMetricsRegressionGLM
extends ModelMetricsRegression
implements GLMMetrics

Created by tomasnykodym on 4/20/15.

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.ModelMetricsRegression

ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegression.MetricBuilderRegression<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
double	_AIC
long	_nullDegressOfFreedom
double	_nullDev
double	_resDev
long	_residualDegressOfFreedom

Fields inherited from class hex.ModelMetricsRegression

_mean_absolute_error, _mean_residual_deviance, _root_mean_squared_log_error

Fields inherited from class hex.ModelMetricsSupervised

_domain, _sigma

Fields inherited from class hex.ModelMetrics

_description, _MSE, _nobs, _scoring_time

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
ModelMetricsRegressionGLM(Model model, Frame frame, long nobs, double mse, double sigma, double mae, double rmsle, double resDev, double meanResDev, double nullDev, double aic, long nDof, long rDof)

Method Summary

Methods

Modifier and Type	Method and Description
long	null_degrees_of_freedom()
double	null_deviance()
long	residual_degrees_of_freedom()
double	residual_deviance() For all algos except GLM this is mean residual deviance.
java.lang.String	toString()

Methods inherited from class hex.ModelMetricsRegression

computeHuberDelta, getFromDKV, mae, make, mean_residual_deviance, rmsle

Methods inherited from class hex.ModelMetricsSupervised

r2

Methods inherited from class hex.ModelMetrics

auc_obj, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, cm, deepCloneWithDifferentModelAndFrame, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, rmse, sortModelsByMetric, sortModelsByMetric

Methods inherited from class water.Keyed

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

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

_nullDegressOfFreedom

public final long _nullDegressOfFreedom

_residualDegressOfFreedom

public final long _residualDegressOfFreedom

_resDev

public final double _resDev

_nullDev

public final double _nullDev

_AIC

public final double _AIC

Constructor Detail

ModelMetricsRegressionGLM

public ModelMetricsRegressionGLM(Model model,
                         Frame frame,
                         long nobs,
                         double mse,
                         double sigma,
                         double mae,
                         double rmsle,
                         double resDev,
                         double meanResDev,
                         double nullDev,
                         double aic,
                         long nDof,
                         long rDof)

Method Detail

residual_deviance

public double residual_deviance()

Description copied from class: ModelMetricsRegression

For all algos except GLM this is mean residual deviance. For GLM it's total residual deviance.

Specified by:

residual_deviance in interface GLMMetrics

Overrides:

residual_deviance in class ModelMetricsRegression

null_deviance

public double null_deviance()

Specified by:

null_deviance in interface GLMMetrics

residual_degrees_of_freedom

public long residual_degrees_of_freedom()

Specified by:

residual_degrees_of_freedom in interface GLMMetrics

Overrides:

residual_degrees_of_freedom in class ModelMetrics

null_degrees_of_freedom

public long null_degrees_of_freedom()

Specified by:

null_degrees_of_freedom in interface GLMMetrics

toString

public java.lang.String toString()

Overrides:

toString in class ModelMetricsRegression