BoonAmber.Model.PostConfigResponse
Properties
| Name |
Type |
Description |
Notes |
| AnomalyHistoryWindow |
int |
the number of samples to use when calculating AH |
[optional] |
| LearningRateNumerator |
int |
enables graduation requirements for learning |
[optional] |
| LearningRateDenominator |
int |
enables graduation requirements for learning |
[optional] |
| LearningMaxClusters |
int |
learning graduation requirement for stopping learning upon reaching this cluster count |
[optional] |
| LearningMaxSamples |
int |
learning graduation requirement for stopping learning after acquiring this many samples |
[optional] |
| FeatureCount |
int |
number of features per sample |
|
| StreamingWindowSize |
int |
streaming window size |
|
| Features |
List<FeatureConfig> |
|
[optional] |
| SamplesToBuffer |
int |
the number of samples to be applied before autotuning begins |
|
| PercentVariationOverride |
float |
override autotuned percent variation with this value |
[optional] |
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