Github user ambauma commented on a diff in the pull request:
https://github.com/apache/spark/pull/19528#discussion_r146080089
--- Diff: python/pyspark/mllib/classification.py ---
@@ -173,7 +173,7 @@ def __init__(self, weights, intercept, numFeatures,
numClasses):
self._dataWithBiasSize = None
self._weightsMatrix = None
else:
- self._dataWithBiasSize = self._coeff.size / (self._numClasses
- 1)
+ self._dataWithBiasSize = self._coeff.size // (self._numClasses
- 1)
--- End diff --
I had to apply this to get past a python unit test failure. My assumption
is that the NewSparkPullRequestBuilder is on a different version of numpy than
when the Spark 1.6 branch was last built. The current python unit test failure
looks like it has to do with a novel version of SciPy.
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