public class ModelMetricsRegressionGeneric extends ModelMetricsRegression
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 |
_r2 |
_mean_absolute_error, _mean_residual_deviance, _root_mean_squared_log_error_domain, _sigma_custom_metric, _description, _MSE, _nobs, _scoring_time| Constructor and Description |
|---|
ModelMetricsRegressionGeneric(Model model,
Frame frame,
long nobs,
double mse,
double sigma,
double mae,
double rmsle,
double meanResidualDeviance,
CustomMetric customMetric,
double r2) |
| Modifier and Type | Method and Description |
|---|---|
double |
r2()
For generic models, the exact R2 value is serialized with the model and provided directly, thus not calculated.
|
computeHuberDelta, getFromDKV, mae, make, mean_residual_deviance, residual_deviance, rmsle, toStringappendToStringMetrics, auc_obj, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, cm, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, residual_degrees_of_freedom, rmse, sortModelsByMetric, sortModelsByMetric, withDescription, withModelAndFramechecksum, makeSchema, readAll_impl, readAll, remove_impl, remove_impl, remove, remove, remove, remove, remove, remove, writeAll_impl, writeAllasBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonString, write, writeExternal, writeJSONpublic ModelMetricsRegressionGeneric(Model model, Frame frame, long nobs, double mse, double sigma, double mae, double rmsle, double meanResidualDeviance, CustomMetric customMetric, double r2)
public double r2()
r2 in class ModelMetricsSupervised