[7.x][ML] Additional outlier detection parameters (#47600) #47669
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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 elastic#47600
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Adds the following parameters to
outlier_detection:compute_feature_influence(boolean): whether to compute or notfeature influence scores
outlier_fraction(double): the proportion of the data set assumedto be outlying prior to running outlier detection
standardization_enabled(boolean): whether to apply standardizationto the feature values
Backport of #47600