[ML] Data frame analytics data counts #53998
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This commit instruments data frame analytics with stats for the data that are being analyzed. In particular, we count training docs, test docs, and skipped docs. In order to account docs with missing values as skipped docs for analyses that do not support missing values, this commit changes the extractor so that it only ignores docs with missing values when it collects the data summary, which is used to estimate memory usage.
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.../ml/src/main/java/org/elasticsearch/xpack/ml/dataframe/process/AnalyticsResultProcessor.java
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Until elastic#53998 is backported to 7.x.
This was referenced Mar 23, 2020
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This commit instruments data frame analytics with stats for the data that are being analyzed. In particular, we count training docs, test docs, and skipped docs. In order to account docs with missing values as skipped docs for analyses that do not support missing values, this commit changes the extractor so that it only ignores docs with missing values when it collects the data summary, which is used to estimate memory usage. Backport of elastic#53998
dimitris-athanasiou
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Mar 24, 2020
Until #53998 is backported to 7.x.
dimitris-athanasiou
added a commit
that referenced
this pull request
Mar 24, 2020
This commit instruments data frame analytics with stats for the data that are being analyzed. In particular, we count training docs, test docs, and skipped docs. In order to account docs with missing values as skipped docs for analyses that do not support missing values, this commit changes the extractor so that it only ignores docs with missing values when it collects the data summary, which is used to estimate memory usage. Backport of #53998
dimitris-athanasiou
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dimitris-athanasiou
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This commit instruments data frame analytics
with stats for the data that are being analyzed.
In particular, we count training docs, test docs,
and skipped docs.
In order to account docs with missing values as skipped
docs for analyses that do not support missing values,
this commit changes the extractor so that it only ignores
docs with missing values when it collects the data summary,
which is used to estimate memory usage.