public static class ModelMetricsRegressionCoxPH.MetricBuilderRegressionCoxPH<T extends ModelMetricsRegressionCoxPH.MetricBuilderRegressionCoxPH<T>> extends ModelMetricsRegression.MetricBuilderRegression<T>
_loglikelihood_domain, _nclasses_CMetricScoringTask, _count, _customMetric, _sumsqe, _wcount, _work, _wY, _wYY| Constructor and Description |
|---|
MetricBuilderRegressionCoxPH(java.lang.String startVecName,
java.lang.String stopVecName,
boolean isStratified,
java.lang.String[] stratifyByName) |
| Modifier and Type | Method and Description |
|---|---|
ModelMetricsRegressionCoxPH |
makeModelMetrics(Model m,
Frame f,
Frame adaptedFrame,
Frame preds)
Having computed a MetricBuilder, this method fills in a ModelMetrics
|
perRow, perRow, reducecachePrediction, makePredictionCache, postGlobal, postGlobal, reduce, reduceForCV, setCustomMetric, weightedSigmaasBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSONpublic MetricBuilderRegressionCoxPH(java.lang.String startVecName,
java.lang.String stopVecName,
boolean isStratified,
java.lang.String[] stratifyByName)
public ModelMetricsRegressionCoxPH makeModelMetrics(Model m, Frame f, Frame adaptedFrame, Frame preds)
ModelMetrics.MetricBuildermakeModelMetrics in class ModelMetricsRegression.MetricBuilderRegression<T extends ModelMetricsRegressionCoxPH.MetricBuilderRegressionCoxPH<T>>m - Modelf - Scored FrameadaptedFrame - Adapted Framepreds - Predictions of m on f (optional) @return Filled Model Metrics object