GitHub user MrBago opened a pull request:
https://github.com/apache/spark/pull/18081
[SPARK-20862] BugFix - avoid passing float to ndarray.reshape in
LogisticRegressionModel
## What changes were proposed in this pull request?
Fixed TypeError with python3 and numpy 1.12.1. Numpy's `reshape` no longer
takes floats as arguments as of 1.12. Also, python3 uses float division for
`/`, we should be using `//` to ensure that `_dataWithBiasSize` doesn't get set
to a float.
## How was this patch tested?
Existing tests run using python3 and numpy 1.12.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/MrBago/spark BF-py3floatbug
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18081.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 #18081
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commit b53616026eac18d4e49bf5a60e077f7226afc951
Author: Bago Amirbekian <b...@databricks.com>
Date: 2017-05-24T01:01:45Z
BugFix - avoid passing float to ndarray.reshape in LogisticRegressionModel.
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