public class ModelMetricsBinomialGeneric extends ModelMetricsBinomial
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 |
---|---|
TwoDimTable |
_confusion_matrix |
TwoDimTable |
_gainsLiftTable |
TwoDimTable |
_max_criteria_and_metric_scores |
double |
_r2 |
TwoDimTable |
_thresholds_and_metric_scores |
_auc, _gainsLift, _logloss, _mean_per_class_error
_domain, _sigma
_custom_metric, _description, _MSE, _nobs, _scoring_time
Constructor and Description |
---|
ModelMetricsBinomialGeneric(Model model,
Frame frame,
long nobs,
double mse,
java.lang.String[] domain,
double sigma,
AUC2 auc,
double logloss,
TwoDimTable gainsLiftTable,
CustomMetric customMetric,
double mean_per_class_error,
TwoDimTable thresholds_and_metric_scores,
TwoDimTable max_criteria_and_metric_scores,
TwoDimTable confusion_matrix,
double r2,
java.lang.String description) |
Modifier and Type | Method and Description |
---|---|
double |
r2() |
auc_obj, auc, aucpr, cm, cm, gainsLift, getFromDKV, lift_top_group, logloss, make, make, make, mean_per_class_error, pr_auc, toString
appendToStringMetrics, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, residual_degrees_of_freedom, 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 TwoDimTable _gainsLiftTable
public final TwoDimTable _thresholds_and_metric_scores
public final TwoDimTable _max_criteria_and_metric_scores
public final TwoDimTable _confusion_matrix
public final double _r2
public ModelMetricsBinomialGeneric(Model model, Frame frame, long nobs, double mse, java.lang.String[] domain, double sigma, AUC2 auc, double logloss, TwoDimTable gainsLiftTable, CustomMetric customMetric, double mean_per_class_error, TwoDimTable thresholds_and_metric_scores, TwoDimTable max_criteria_and_metric_scores, TwoDimTable confusion_matrix, double r2, java.lang.String description)
public double r2()
r2
in class ModelMetricsSupervised