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[ML] adding docs + hlrc for data frame analysis feature_processors (#61149)

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Adds HLRC and some docs for the new feature_processors field in Data frame analytics.

Co-authored-by: Przemysław Witek <przemyslaw.witek@elastic.co>
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
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Benjamin Trent 2020-08-24 12:00:44 -04:00 • committed by GitHub
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docs/java-rest/high-level/ml/put-data-frame-analytics.asciidoc
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@ -124,6 +124,8 @@ include-tagged::{doc-tests-file}[{api}-classification]
<10> The seed to be used by the random generator that picks which rows are used in training.
<11> The optimization objective to target when assigning class labels. Defaults to maximize_minimum_recall.
<12> The number of top classes to be reported in the results. Defaults to 2.
<13> Custom feature processors that will create new features for analysis from the included document
fields. Note, automatic categorical {ml-docs}/ml-feature-encoding.html[feature encoding] still occurs for all features.
===== Regression
@ -146,6 +148,8 @@ include-tagged::{doc-tests-file}[{api}-regression]
<10> The seed to be used by the random generator that picks which rows are used in training.
<11> The loss function used for regression. Defaults to `mse`.
<12> An optional parameter to the loss function.
<13> Custom feature processors that will create new features for analysis from the included document
fields. Note, automatic categorical {ml-docs}/ml-feature-encoding.html[feature encoding] still occurs for all features.
==== Analyzed fields