This adds a `_source` setting under the `source` setting of a data
frame analytics config. The new `_source` is reusing the structure
of a `FetchSourceContext` like `analyzed_fields` does. Specifying
includes and excludes for source allows selecting which fields
will get reindexed and will be available in the destination index.
Closes#49531
Backport of #49690
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
* [DOCS] Adds regression analytics resources and examples to the data frame analytics APIs.
Co-Authored-By: Benjamin Trent <ben.w.trent@gmail.com>
Co-Authored-By: Tom Veasey <tveasey@users.noreply.github.com>
* [DOCS] Adds outlier detection params to the data frame analytics resources.
Co-Authored-By: Tom Veasey <tveasey@users.noreply.github.com>
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
This PR addresses the feedback in https://github.com/elastic/ml-team/issues/175#issuecomment-512215731.
* Adds an example to `analyzed_fields`
* Includes `source` and `dest` objects inline in the resource page
* Lists `model_memory_limit` in the PUT API page
* Amends the `analysis` section in the resource page
* Removes Properties headings in subsections
Dimitris Athanasiou
lcawl
István Zoltán Szabó
James Rodewig