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From "Joseph K. Bradley (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-20214) pyspark.mllib SciPyTests test_serialize
Date Wed, 05 Apr 2017 17:18:42 GMT

     [ https://issues.apache.org/jira/browse/SPARK-20214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joseph K. Bradley updated SPARK-20214:
--------------------------------------
    Target Version/s: 2.0.3, 2.1.2, 2.2.0

> pyspark.mllib SciPyTests test_serialize
> ---------------------------------------
>
>                 Key: SPARK-20214
>                 URL: https://issues.apache.org/jira/browse/SPARK-20214
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, MLlib, PySpark, Tests
>    Affects Versions: 2.0.2, 2.1.1, 2.2.0
>            Reporter: Joseph K. Bradley
>
> I've seen a few failures of this line: https://github.com/apache/spark/blame/402bf2a50ddd4039ff9f376b641bd18fffa54171/python/pyspark/mllib/tests.py#L847
> It converts a scipy.sparse.lil_matrix to a dok_matrix and then to a pyspark.mllib.linalg.Vector.
 The failure happens in the conversion to a vector and indicates that the dok_matrix is not
returning its values in sorted order. (Actually, the failure is in _convert_to_vector, which
converts the dok_matrix to a csc_matrix and then passes the CSC data to the MLlib Vector constructor.)
Here's the stack trace:
> {code}
> Traceback (most recent call last):
>   File "/home/jenkins/workspace/python/pyspark/mllib/tests.py", line 847, in test_serialize
>     self.assertEqual(sv, _convert_to_vector(lil.todok()))
>   File "/home/jenkins/workspace/python/pyspark/mllib/linalg/__init__.py", line 78, in
_convert_to_vector
>     return SparseVector(l.shape[0], csc.indices, csc.data)
>   File "/home/jenkins/workspace/python/pyspark/mllib/linalg/__init__.py", line 556, in
__init__
>     % (self.indices[i], self.indices[i + 1]))
> TypeError: Indices 3 and 1 are not strictly increasing
> {code}
> This seems like a bug in _convert_to_vector, where we really should check {{csc_matrix.has_sorted_indices}}
first.
> I haven't seen this bug in pyspark.ml.linalg, but it probably exists there too.



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