public class ModelMetricsRegressionGLMGeneric extends ModelMetricsRegressionGLM
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 |
---|---|
TwoDimTable |
_coefficients_table |
double |
_r2 |
_AIC, _loglikelihood, _nullDegressOfFreedom, _nullDev, _resDev, _residualDegressOfFreedom
_mean_absolute_error, _mean_residual_deviance, _root_mean_squared_log_error
_domain, _sigma
_custom_metric, _description, _MSE, _nobs, _scoring_time
Constructor and Description |
---|
ModelMetricsRegressionGLMGeneric(Model model,
Frame frame,
long nobs,
double mse,
double sigma,
double mae,
double rmsle,
double meanResidualDeviance,
CustomMetric customMetric,
double r2,
long nullDegreesOfFreedom,
long residualDegreesOfFreedom,
double resDev,
double nullDev,
double aic,
double loglikelihood,
TwoDimTable coefficients_table) |
Modifier and Type | Method and Description |
---|---|
double |
r2() |
null_degrees_of_freedom, null_deviance, residual_degrees_of_freedom, residual_deviance, toString
computeHuberDelta, getFromDKV, mae, make, make, mean_residual_deviance, rmsle
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 double _r2
public TwoDimTable _coefficients_table
public ModelMetricsRegressionGLMGeneric(Model model, Frame frame, long nobs, double mse, double sigma, double mae, double rmsle, double meanResidualDeviance, CustomMetric customMetric, double r2, long nullDegreesOfFreedom, long residualDegreesOfFreedom, double resDev, double nullDev, double aic, double loglikelihood, TwoDimTable coefficients_table)
public double r2()
r2
in class ModelMetricsSupervised