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[ML] Expose class_assignment_objective parameter #52427

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tveasey opened this issue Feb 17, 2020 · 1 comment
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[ML] Expose class_assignment_objective parameter #52427

tveasey opened this issue Feb 17, 2020 · 1 comment
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>enhancement :ml Machine learning

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@tveasey
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tveasey commented Feb 17, 2020

In order to benchmark predictive accuracy, we need to be able to target maximum accuracy rather than maximum minimum class recall when assigning class labels. This parameter exists in C++, but isn't yet exposed by the Java.
@tveasey tveasey added >enhancement :ml Machine learning labels Feb 17, 2020
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Pinging @elastic/ml-core (:ml)

@tveasey tveasey mentioned this issue Feb 25, 2020
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tveasey added a commit that referenced this issue Mar 12, 2020
@tveasey
[ML] Adds the class_assignment_objective parameter to classification (#…
58340c2 
…52763)

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.
tveasey added a commit that referenced this issue Mar 13, 2020
@tveasey
[7.x][ML] Adds the class_assignment_objective parameter to classifica…
6900995 
…tion (#53552)

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.
@codebrain codebrain mentioned this issue Apr 1, 2020
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@tveasey @elasticmachine