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[ML] Add early stopping DFA configuration parameter (#68099)

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The PR adds early_stopping_enabled optional data frame analysis configuration parameter. The enhancement was already described in elastic/ml-cpp#1676 and so I mark it here as non-issue.
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Valeriy Khakhutskyy 2021-02-01 11:41:28 +01:00 • committed by GitHub
parent 4cbe61467c
commit 78368428b3
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22 changed files with 257 additions and 104 deletions
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docs/java-rest/high-level/ml/put-data-frame-analytics.asciidoc
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@ -134,6 +134,7 @@ include-tagged::{doc-tests-file}[{api}-classification]
<17> The soft tree depth tolerance. Controls how much the soft tree depth limit is respected. A double greater than or equal to 0.01.
<18> The amount by which to downsample the data for stochastic gradient estimates. A double in (0, 1.0].
<19> The maximum number of optimisation rounds we use for hyperparameter optimisation per parameter. An integer in [0, 20].
<20> Whether to enable early stopping to finish training process if it is not finding better models.
===== Regression
@ -164,6 +165,7 @@ fields. Note, automatic categorical {ml-docs}/ml-feature-encoding.html[feature e
<17> The soft tree depth tolerance. Controls how much the soft tree depth limit is respected. A double greater than or equal to 0.01.
<18> The amount by which to downsample the data for stochastic gradient estimates. A double in (0, 1.0].
<19> The maximum number of optimisation rounds we use for hyperparameter optimisation per parameter. An integer in [0, 20].
<20> Whether to enable early stopping to finish training process if it is not finding better models.
==== Analyzed fields