water.api.schemas3

Class ModelMetricsHGLMV3<I extends ModelMetricsHGLM,S extends ModelMetricsHGLMV3<I,S>>

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<I,S>

water.api.schemas3.ModelMetricsBaseV3<I,S>

water.api.schemas3.ModelMetricsHGLMV3<I,S>

All Implemented Interfaces:

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

Direct Known Subclasses:

ModelMetricsHGLMGaussianGaussianV3, ModelMetricsHGLMGenericV3

public class ModelMetricsHGLMV3<I extends ModelMetricsHGLM,S extends ModelMetricsHGLMV3<I,S>>
extends ModelMetricsBaseV3<I,S>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

SchemaV3.Meta

Nested classes/interfaces inherited from class water.api.Schema

Schema.AutoParseable

Field Summary

Fields

Modifier and Type	Field and Description
long	bad
double	caic
boolean	converge
double	convergence
double	dfrefe
double[]	fixef
double	hlik
double	pbvh
double	pvh
int[]	randc
double[]	ranef
double[]	sefe
double[]	sere
double	sumetadiffsquare
double[]	summvc1
double[][]	summvc2
double	varfix
double[]	varranef

Fields inherited from class water.api.schemas3.ModelMetricsBaseV3

custom_metric_name, custom_metric_value, description, frame, frame_checksum, model, model_category, model_checksum, MSE, nobs, predictions, RMSE, scoring_time

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
ModelMetricsHGLMV3()

Method Summary

Modifier and Type	Method and Description
S	fillFromImpl(ModelMetricsHGLM modelMetrics) Fill this Schema from the given implementation object.

Methods inherited from class water.api.schemas3.ModelMetricsBaseV3

fillFromImpl

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal

Methods inherited from class java.lang.Object

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

Field Detail

sefe

@API(help="standard error of fixed predictors/effects",
     direction=OUTPUT)
public double[] sefe

sere

@API(help="standard error of random effects",
     direction=OUTPUT)
public double[] sere

varfix

@API(help="dispersion parameter of the mean model (residual variance for LMM)",
     direction=OUTPUT)
public double varfix

varranef

@API(help="dispersion parameter of the random effects (variance of random effects for GLMM",
     direction=OUTPUT)
public double[] varranef

fixef

@API(help="fixed coefficient)",
     direction=OUTPUT)
public double[] fixef

ranef

@API(help="random coefficients",
     direction=OUTPUT)
public double[] ranef

converge

@API(help="true if model has converged",
     direction=OUTPUT)
public boolean converge

randc

@API(help="number of random columns",
     direction=OUTPUT)
public int[] randc

dfrefe

@API(help="deviance degrees of freedom for mean part of the model",
     direction=OUTPUT)
public double dfrefe

summvc1

@API(help="estimates, standard errors of the linear predictor in the dispersion model",
     direction=OUTPUT)
public double[] summvc1

summvc2

@API(help="estimates, standard errors of the linear predictor for dispersion parameter of random effects",
     direction=OUTPUT)
public double[][] summvc2

hlik

@API(help="log h-likelihood",
     direction=OUTPUT)
public double hlik

pvh

@API(help="adjusted profile log-likelihood profiled over random effects",
     direction=OUTPUT)
public double pvh

pbvh

@API(help="adjusted profile log-likelihood profiled over fixed and random effects",
     direction=OUTPUT)
public double pbvh

caic

@API(help="conditional AIC",
     direction=OUTPUT)
public double caic

bad

@API(help="index of the most influential observation",
     direction=OUTPUT)
public long bad

sumetadiffsquare

@API(help="sum(etai-eta0)^2 where etai is current eta and eta0 is the previous one",
     direction=OUTPUT)
public double sumetadiffsquare

convergence

@API(help="sum(etai-eta0)^2/sum(etai)^2 ",
     direction=OUTPUT)
public double convergence

Constructor Detail

ModelMetricsHGLMV3

public ModelMetricsHGLMV3()

Method Detail

fillFromImpl

public S fillFromImpl(ModelMetricsHGLM modelMetrics)

Description copied from class: Schema

Fill this Schema from the given implementation object. If a schema doesn't need to adapt any fields if does not need to override this method.

Overrides:

fillFromImpl in class Schema<I extends ModelMetricsHGLM,S extends ModelMetricsHGLMV3<I,S>>