[jira] [Created] (SPARK-20862) LogisticRegressionModel throws TypeError

["Bago Amirbekian (JIRA)" <ji...@apache.org>]

Bago Amirbekian created SPARK-20862:
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             Summary: LogisticRegressionModel throws TypeError
                 Key: SPARK-20862
                 URL: https://issues.apache.org/jira/browse/SPARK-20862
             Project: Spark
          Issue Type: Bug
          Components: MLlib, PySpark
    Affects Versions: 2.1.1
            Reporter: Bago Amirbekian
            Priority: Minor


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




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