7667ea5f6f
Adds the following parameters to `outlier_detection`: - `compute_feature_influence` (boolean): whether to compute or not feature influence scores - `outlier_fraction` (double): the proportion of the data set assumed to be outlying prior to running outlier detection - `standardization_enabled` (boolean): whether to apply standardization to the feature values Backport of #47600 |
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| .. | ||
| basic-multi-node | ||
| disabled | ||
| ml-with-security | ||
| native-multi-node-tests | ||
| no-bootstrap-tests | ||
| single-node-tests | ||
| build.gradle | ||