public class ModelMetricsRegressionGLM extends ModelMetricsRegression implements GLMMetrics
ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegression.MetricBuilderRegression<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 |
_mean_absolute_error, _mean_residual_deviance, _root_mean_squared_log_error
_domain, _sigma
_custom_metric, _description, _MSE, _nobs, _scoring_time
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) |
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() |
computeHuberDelta, getFromDKV, mae, make, mean_residual_deviance, rmsle
r2
appendToStringMetrics, auc_obj, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, cm, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, rmse, sortModelsByMetric, sortModelsByMetric, withDescription, withModelAndFrame
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 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)
public double residual_deviance()
ModelMetricsRegression
residual_deviance
in interface GLMMetrics
residual_deviance
in class ModelMetricsRegression
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 ModelMetricsRegression