[7.5][ML] Deduplicate multi-fields for data frame analytics (#48799) #48807
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…48799) In the case multi-fields exist in the source index, we pick all variants of them in our extracted fields detection for data frame analytics. This means we may have multiple instances of the same feature. The worse consequence of this is when the dependent variable (for regression or classification) is also duplicated which means we train a model on the dependent variable itself. Now that elastic#48770 is merged, this commit is adding logic to only select one variant of multi-fields. Closes elastic#48756 Backport elastic#48799
|
Pinging @elastic/ml-core (:ml) |
dimitris-athanasiou
deleted the
deduplicate-multifields-for-df-analytics-7_5
branch
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
In the case multi-fields exist in the source index, we pick
all variants of them in our extracted fields detection for
data frame analytics. This means we may have multiple instances
of the same feature. The worse consequence of this is when the
dependent variable (for regression or classification) is also
duplicated which means we train a model on the dependent variable
itself.
Now that #48770 is merged, this commit is adding logic to
only select one variant of multi-fields.
Closes #48756
Backport #48799