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https://issues.apache.org/jira/browse/SPARK-19134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15811548#comment-15811548
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Apache Spark commented on SPARK-19134:
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User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/16515
> Fix several Python mllib and status api examples not working
> ------------------------------------------------------------
>
> Key: SPARK-19134
> URL: https://issues.apache.org/jira/browse/SPARK-19134
> Project: Spark
> Issue Type: Bug
> Components: MLlib, PySpark
> Reporter: Hyukjin Kwon
> Priority: Minor
>
> *binary_classification_metrics_example.py*
> {code}
> ./bin/spark-submit
> examples/src/main/python/mllib/binary_classification_metrics_example.py
> {code}
> {code}
> File
> ".../spark/examples/src/main/python/mllib/binary_classification_metrics_example.py",
> line 39, in <lambda>
> .rdd.map(lambda row: LabeledPoint(row[0], row[1]))
> File ".../spark/python/pyspark/mllib/regression.py", line 54, in __init__
> self.features = _convert_to_vector(features)
> File ".../spark/python/pyspark/mllib/linalg/__init__.py", line 80, in
> _convert_to_vector
> raise TypeError("Cannot convert type %s into Vector" % type(l))
> TypeError: Cannot convert type <class 'pyspark.ml.linalg.SparseVector'> into
> Vector
> {code}
> *status_api_demo.py*
> {code}
> PYSPARK_PYTHON=python3 ./bin/spark-submit
> examples/src/main/python/status_api_demo.py
> {code}
> {code}
> Traceback (most recent call last):
> File ".../spark/examples/src/main/python/status_api_demo.py", line 22, in
> <module>
> import Queue
> ImportError: No module named 'Queue'
> {code}
> *bisecting_k_means_example.py*
> {code}
> ./bin/spark-submit examples/src/main/python/mllib/bisecting_k_means_example.py
> {code}
> {code}
> Traceback (most recent call last):
> File
> "/Users/hyukjinkwon/Desktop/workspace/repos/forked/spark/examples/src/main/python/mllib/bisecting_k_means_example.py",
> line 46, in <module>
> model.save(sc, path)
> AttributeError: 'BisectingKMeansModel' object has no attribute 'save'
> {code}
> *elementwise_product_example.py*
> {code}
> ./bin/spark-submit
> examples/src/main/python/mllib/elementwise_product_example.py
> {code}
> {code}
> Traceback (most recent call last):
> File
> "/Users/hyukjinkwon/Desktop/workspace/repos/forked/spark/examples/src/main/python/mllib/elementwise_product_example.py",
> line 48, in <module>
> for each in transformedData2.collect():
> File
> "/Users/hyukjinkwon/Desktop/workspace/repos/forked/spark/python/pyspark/mllib/linalg/__init__.py",
> line 478, in __getattr__
> return getattr(self.array, item)
> AttributeError: 'numpy.ndarray' object has no attribute 'collect'
> {code}
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