[ML] Support the unsigned_long type in data frame analytics #64066
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Adds support for the unsigned_long type to data frame analytics. This type is handled in the same way as the long type. Values sent to the ML native processes are converted to floats and hence will lose accuracy when outside the range where a float can uniquely represent long values. Relates elastic#60050
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droberts195
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Adds support for the unsigned_long type to data frame analytics. This type is handled in the same way as the long type. Values sent to the ML native processes are converted to floats and hence will lose accuracy when outside the range where a float can uniquely represent long values. Backport of elastic#64066
This was referenced Oct 22, 2020
droberts195
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Oct 26, 2020
Adds support for the unsigned_long type to data frame analytics. This type is handled in the same way as the long type. Values sent to the ML native processes are converted to floats and hence will lose accuracy when outside the range where a float can uniquely represent long values. Backport of #64066
droberts195
added a commit
that referenced
this pull request
Oct 26, 2020
Adds support for the unsigned_long type to data frame analytics. This type is handled in the same way as the long type. Values sent to the ML native processes are converted to floats and hence will lose accuracy when outside the range where a float can uniquely represent long values. Backport of #64066
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Adds support for the unsigned_long type to data frame analytics.
This type is handled in the same way as the long type. Values
sent to the ML native processes are converted to floats and
hence will lose accuracy when outside the range where a float
can uniquely represent long values.
Relates #60050