Minor Description
LogisticRegressionModel throws a TypeError using python3 and numpy 1.12.1:
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File "/Users/bago/repos/spark/python/pyspark/mllib/classification.py", line 155, in _main_.LogisticRegressionModel
Failed example:
mcm = LogisticRegressionWithLBFGS.train(data, iterations=10, numClasses=3)
Exception raised:
Traceback (most recent call last):
File "/usr/local/Cellar/python3/3.6.1/Frameworks/Python.framework/Versions/3.6/lib/python3.6/doctest.py", line 1330, in __run
compileflags, 1), test.globs)
File "<doctest _main_.LogisticRegressionModel[23]>", line 1, in <module>
mcm = LogisticRegressionWithLBFGS.train(data, iterations=10, numClasses=3)
File "/Users/bago/repos/spark/python/pyspark/mllib/classification.py", line 398, in train
return _regression_train_wrapper(train, LogisticRegressionModel, data, initialWeights)
File "/Users/bago/repos/spark/python/pyspark/mllib/regression.py", line 216, in _regression_train_wrapper
return modelClass(weights, intercept, numFeatures, numClasses)
File "/Users/bago/repos/spark/python/pyspark/mllib/classification.py", line 176, in _init_
self._dataWithBiasSize)
TypeError: 'float' object cannot be interpreted as an integer
