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https://issues.apache.org/jira/browse/SPARK-20862?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-20862:
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Assignee: (was: Apache Spark)
> 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:
> **********************************************************************
> 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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