Bago Amirbekian created SPARK-20862: ---------------------------------------
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: ********************************************************************** 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 -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org