public abstract static class ModelMetricsUnsupervised.MetricBuilderUnsupervised<T extends ModelMetricsUnsupervised.MetricBuilderUnsupervised<T>> extends ModelMetrics.MetricBuilder<T>
_count, _customMetric, _sumsqe, _wcount, _work, _wY, _wYY
Constructor and Description |
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MetricBuilderUnsupervised() |
Modifier and Type | Method and Description |
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abstract ModelMetrics |
makeModelMetrics(Model m,
Frame f) |
ModelMetrics |
makeModelMetrics(Model m,
Frame f,
Frame adaptedFrame,
Frame preds)
Having computed a MetricBuilder, this method fills in a ModelMetrics
|
cachePrediction, makePredictionCache, perRow, perRow, postGlobal, postGlobal, reduce, reduce, reduceForCV, setCustomMetric, weightedSigma
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON
public final ModelMetrics makeModelMetrics(Model m, Frame f, Frame adaptedFrame, Frame preds)
ModelMetrics.MetricBuilder
makeModelMetrics
in class ModelMetrics.MetricBuilder<T extends ModelMetricsUnsupervised.MetricBuilderUnsupervised<T>>
m
- Modelf
- Scored FrameadaptedFrame
- Adapted Framepreds
- Predictions of m on f (optional) @return Filled Model Metrics objectpublic abstract ModelMetrics makeModelMetrics(Model m, Frame f)