public class ModelMetricsBinomialGLM extends ModelMetricsBinomial implements GLMMetrics
Modifier and Type | Class and Description |
---|---|
static class |
ModelMetricsBinomialGLM.ModelMetricsMultinomialGLM |
ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>
ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>>
ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>
Modifier and Type | Field and Description |
---|---|
double |
_AIC |
long |
_nullDegressOfFreedom |
double |
_nullDev |
double |
_resDev |
long |
_residualDegressOfFreedom |
_auc, _gainsLift, _logloss, _mean_per_class_error
_domain, _sigma
_description, _MSE, _nobs, _scoring_time
Constructor and Description |
---|
ModelMetricsBinomialGLM(Model model,
Frame frame,
long nobs,
double mse,
java.lang.String[] domain,
double sigma,
AUC2 auc,
double logloss,
double resDev,
double nullDev,
double aic,
long nDof,
long rDof,
GainsLift gainsLift) |
Modifier and Type | Method and Description |
---|---|
boolean |
equals(java.lang.Object o) |
long |
null_degrees_of_freedom() |
double |
null_deviance() |
long |
residual_degrees_of_freedom() |
double |
residual_deviance() |
java.lang.String |
toString() |
auc_obj, auc, cm, gainsLift, getFromDKV, lift_top_group, logloss, make, make, mean_per_class_error
r2
buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, deepCloneWithDifferentModelAndFrame, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, rmse, sortModelsByMetric, sortModelsByMetric
checksum, makeSchema, readAll_impl, readAll, remove_impl, remove, remove, remove, remove, writeAll_impl, writeAll
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSON
public final long _nullDegressOfFreedom
public final long _residualDegressOfFreedom
public final double _resDev
public final double _nullDev
public final double _AIC
public double residual_deviance()
residual_deviance
in interface GLMMetrics
public double null_deviance()
null_deviance
in interface GLMMetrics
public long residual_degrees_of_freedom()
residual_degrees_of_freedom
in interface GLMMetrics
residual_degrees_of_freedom
in class ModelMetrics
public long null_degrees_of_freedom()
null_degrees_of_freedom
in interface GLMMetrics
public java.lang.String toString()
toString
in class ModelMetricsBinomial
public boolean equals(java.lang.Object o)
equals
in class java.lang.Object