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