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 |
double |
_loglikelihood |
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,
double loglikelihood) |
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() |
computeHuberDelta, getFromDKV, mae, make, 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, setModelKey, sortModelsByMetric, sortModelsByMetric, withDescription, withModelAndFrame
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
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, 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 final double _loglikelihood
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)
public double residual_deviance()
residual_deviance
in interface GLMMetrics
residual_deviance
in class ModelMetricsRegression
ModelMetricsRegression.mean_residual_deviance()
for all algos except GLM, for which it means "total residual deviance".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