public class ModelMetricsAnomaly
extends hex.ModelMetricsUnsupervised
implements hex.ScoreKeeper.ScoreKeeperAware
Modifier and Type | Class and Description |
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static class |
ModelMetricsAnomaly.MetricBuilderAnomaly |
Modifier and Type | Field and Description |
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double |
_mean_normalized_score
Mean normalized score should be (but not necessary is) a number between 0 and 1.
|
double |
_mean_score
The raw number that an algorithm is using to count final anomaly score.
|
Constructor and Description |
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ModelMetricsAnomaly(hex.Model model,
water.fvec.Frame frame,
hex.CustomMetric customMetric,
long nobs,
double totalScore,
double totalNormScore,
java.lang.String description) |
Modifier and Type | Method and Description |
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protected java.lang.StringBuilder |
appendToStringMetrics(java.lang.StringBuilder sb) |
void |
fillTo(hex.ScoreKeeper sk) |
auc_obj, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, cm, custom_increasing, custom, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getFromDKV, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, residual_degrees_of_freedom, rmse, setModelKey, sortModelsByMetric, sortModelsByMetric, toString, 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
public final double _mean_score
public final double _mean_normalized_score