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https://issues.apache.org/jira/browse/SYSTEMML-1474?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961231#comment-15961231
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Glenn Weidner commented on SYSTEMML-1474:
-----------------------------------------
Note it appears to be a regression since the same test can be run successfully
on same local system using latest release systemml-0.13.0-incubating-python.tgz.
> Index out of bounds error in test_naive_bayes1 of test_mllearn_numpy.py
> -----------------------------------------------------------------------
>
> Key: SYSTEMML-1474
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1474
> Project: SystemML
> Issue Type: Bug
> Reporter: Glenn Weidner
> Priority: Minor
>
> The following error was observed running the python tests from command line
> with spark-submit:
> {code}
> ======================================================================
> ERROR: test_naive_bayes1 (__main__.TestMLLearn)
> ----------------------------------------------------------------------
> Traceback (most recent call last):
> File "/home/spark/test_mllearn_numpy.py", line 184, in test_naive_bayes1
> mllearn_predicted = nb.fit(vectors,
> newsgroups_train.target).predict(vectors_test)
> File "/usr/lib/python2.7/site-packages/systemml/mllearn/estimators.py",
> line 142, in fit
> self.fit_numpy(X, y)
> File "/usr/lib/python2.7/site-packages/systemml/mllearn/estimators.py",
> line 95, in fit_numpy
> self._fit_numpy()
> File "/usr/lib/python2.7/site-packages/systemml/mllearn/estimators.py",
> line 88, in _fit_numpy
> self.model = self.estimator.fit(convertToMatrixBlock(self.sc, self.X),
> y_mb)
> File "/usr/lib/python2.7/site-packages/systemml/converters.py", line 106,
> in convertToMatrixBlock
> [ _copyRowBlock(i, sc, ret, src, numRowsPerBlock, rlen, clen) for i in
> range(0, src.shape[0], numRowsPerBlock) ]
> File "/usr/lib/python2.7/site-packages/systemml/converters.py", line 83, in
> _copyRowBlock
> mb = _convertSPMatrixToMB(sc, src[i:i+numRowsPerBlock,]) if
> isinstance(src, spmatrix) else _convertDenseMatrixToMB(sc,
> src[i:i+numRowsPerBlock,])
> File "/usr/lib64/python2.7/site-packages/scipy/sparse/csr.py", line 304, in
> __getitem__
> return self._get_submatrix(row, col)
> File "/usr/lib64/python2.7/site-packages/scipy/sparse/csr.py", line 447, in
> _get_submatrix
> check_bounds(i0, i1, M)
> File "/usr/lib64/python2.7/site-packages/scipy/sparse/csr.py", line 443, in
> check_bounds
> " %d <= %d" % (i0, num, i1, num, i0, i1))
> IndexError: index out of bounds: 0 <= 2030 <= 2034, 0 <= 2059 <= 2034, 2030
> <= 2059
> {code}
> The IndexError was first observed when running the test under a Notebook
> cloud environment with Spark 2.0.2, then reproduced at command line on local
> system with Spark 2.1.
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