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[ML] Adds the class_assignment_objective parameter to classification (#52763)

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Adds a new parameter for classification that enables choosing whether to assign labels to
maximise accuracy or to maximise the minimum class recall.

Fixes #52427.
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Tom Veasey 2020-03-12 18:39:29 +00:00 • committed by GitHub
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17 changed files with 250 additions and 32 deletions
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docs/java-rest/high-level/ml/put-data-frame-analytics.asciidoc
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@ -121,7 +121,8 @@ include-tagged::{doc-tests-file}[{api}-classification]
<8> The name of the prediction field in the results object.
<9> The percentage of training-eligible rows to be used in training. Defaults to 100%.
<10> The seed to be used by the random generator that picks which rows are used in training.
<11> The number of top classes to be reported in the results. Defaults to 2.
<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.
===== Regression