water.bindings.pojos

Class ModelMetricsHGLMV3

java.lang.Object

water.bindings.pojos.SchemaV3

water.bindings.pojos.ModelMetricsBaseV3

water.bindings.pojos.ModelMetricsHGLMV3

Direct Known Subclasses:

ModelMetricsHGLMGaussianGaussianV3, ModelMetricsHGLMGenericV3

public class ModelMetricsHGLMV3
extends ModelMetricsBaseV3

Field Summary

Fields

Modifier and Type	Field and Description
long	bad index of the most influential observation
double	caic conditional AIC
boolean	converge true if model has converged
double	convergence sum(etai-eta0)^2/sum(etai)^2
double	dfrefe deviance degrees of freedom for mean part of the model
double[]	fixef fixed coefficient)
double	hlik log h-likelihood
double	pbvh adjusted profile log-likelihood profiled over fixed and random effects
double	pvh adjusted profile log-likelihood profiled over random effects
int[]	randc number of random columns
double[]	ranef random coefficients
double[]	sefe standard error of fixed predictors/effects
double[]	sere standard error of random effects
double	sumetadiffsquare sum(etai-eta0)^2 where etai is current eta and eta0 is the previous one
double[]	summvc1 estimates, standard errors of the linear predictor in the dispersion model
double[][]	summvc2 estimates, standard errors of the linear predictor for dispersion parameter of random effects
double	varfix dispersion parameter of the mean model (residual variance for LMM)
double[]	varranef dispersion parameter of the random effects (variance of random effects for GLMM

Fields inherited from class water.bindings.pojos.ModelMetricsBaseV3

customMetricName, customMetricValue, description, frame, frameChecksum, model, modelCategory, modelChecksum, mse, nobs, predictions, rmse, scoringTime

Constructor Summary

Constructors

Constructor and Description
ModelMetricsHGLMV3() Public constructor

Method Summary

Modifier and Type	Method and Description
java.lang.String	toString() Return the contents of this object as a JSON String.

Methods inherited from class java.lang.Object

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

Field Detail

sefe

public double[] sefe

standard error of fixed predictors/effects

sere

public double[] sere

standard error of random effects

varfix

public double varfix

dispersion parameter of the mean model (residual variance for LMM)

varranef

public double[] varranef

dispersion parameter of the random effects (variance of random effects for GLMM

fixef

public double[] fixef

fixed coefficient)

ranef

public double[] ranef

random coefficients

converge

public boolean converge

true if model has converged

randc

public int[] randc

number of random columns

dfrefe

public double dfrefe

deviance degrees of freedom for mean part of the model

summvc1

public double[] summvc1

estimates, standard errors of the linear predictor in the dispersion model

summvc2

public double[][] summvc2

estimates, standard errors of the linear predictor for dispersion parameter of random effects

hlik

public double hlik

log h-likelihood

pvh

public double pvh

adjusted profile log-likelihood profiled over random effects

pbvh

public double pbvh

adjusted profile log-likelihood profiled over fixed and random effects

caic

public double caic

conditional AIC

bad

public long bad

index of the most influential observation

sumetadiffsquare

public double sumetadiffsquare

sum(etai-eta0)^2 where etai is current eta and eta0 is the previous one

convergence

public double convergence

sum(etai-eta0)^2/sum(etai)^2

Constructor Detail

ModelMetricsHGLMV3

public ModelMetricsHGLMV3()

Public constructor

Method Detail

toString

public java.lang.String toString()

Return the contents of this object as a JSON String.

Overrides:

toString in class ModelMetricsBaseV3