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>

Direct Known Subclasses:

ModelMetricsRegressionGLMGeneric

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
double	_loglikelihood
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

_custom_metric, _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, CustomMetric customMetric, double loglikelihood)

Method Summary

Modifier and Type	Method and Description
long	null_degrees_of_freedom()
double	null_deviance()
long	residual_degrees_of_freedom()
double	residual_deviance()
java.lang.String	toString()

Methods inherited from class hex.ModelMetricsRegression

computeHuberDelta, getFromDKV, mae, make, make, mean_residual_deviance, rmsle

Methods inherited from class hex.ModelMetricsSupervised

r2

Methods inherited from class hex.ModelMetrics

appendToStringMetrics, auc_obj, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, cm, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, rmse, setModelKey, sortModelsByMetric, sortModelsByMetric, withDescription, withModelAndFrame

Methods inherited from class water.Keyed

checksum_impl, checksum, checksum, getKey, makeSchema, readAll_impl, readAll, remove_impl, remove_impl, remove_self_key_impl, remove, remove, remove, remove, remove, remove, removeQuietly, writeAll_impl, writeAll

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, 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

_loglikelihood

public final double _loglikelihood

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,
                                 CustomMetric customMetric,
                                 double loglikelihood)

Method Detail

residual_deviance

public double residual_deviance()

Specified by:

residual_deviance in interface GLMMetrics

Overrides:

residual_deviance in class ModelMetricsRegression

Returns:

ModelMetricsRegression.mean_residual_deviance() for all algos except GLM, for which it means "total residual deviance".

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