GitHub user iyerr3 opened a pull request:
https://github.com/apache/madlib/pull/259
Minibatch: Add one-hot encoding option for int
JIRA: MADLIB-1226
Integer dependent variables can be used either in regression or
classification. To use in classification, they need to be one-hot
encoded. This commit adds an option to allow users to pick if a integer
dependent input needs to one-hot encoded or not. The flag is ignored if
the variable is not of integer type.
Other changes include adding an appropriate test in install-check,
code cleanup and PEP8 conformance.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/madlib/madlib feature/minibatch_one_hot_encode
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/madlib/pull/259.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #259
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commit 4729973d4e477cfef42cb21f8b8a3778171a5a3d
Author: Rahul Iyer <riyer@...>
Date: 2018-04-10T19:34:23Z
Minibatch: Add one-hot encoding option for int
JIRA: MADLIB-1226
Integer dependent variables can be used either in regression or
classification. To use in classification, they need to be one-hot
encoded. This commit adds an option to allow users to pick if a integer
dependent input needs to one-hot encoded or not. The flag is ignored if
the variable is not of integer type.
Other changes include adding an appropriate test in install-check,
code cleanup and PEP8 conformance.
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