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https://issues.apache.org/jira/browse/SPARK-18133?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15610968#comment-15610968
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Miao Wang commented on SPARK-18133:
-----------------------------------
Use Pyspark:
>>> training = spark.createDataFrame([
... (0L, "a b c d e spark", 1.0),
... (1L, "b d", 0.0),
... (2L, "spark f g h", 1.0),
... (3L, "hadoop mapreduce", 0.0)
... ], ["id", "text", "label"])
>>> training
DataFrame[id: bigint, text: string, label: double]
There is no such error.
> Python ML Pipeline Example has syntax errors
> --------------------------------------------
>
> Key: SPARK-18133
> URL: https://issues.apache.org/jira/browse/SPARK-18133
> Project: Spark
> Issue Type: Bug
> Components: Examples, ML
> Affects Versions: 2.0.1
> Environment: OS X
> Reporter: Nirmal Fernando
> Priority: Minor
> Labels: easyfix
>
> $ ./bin/spark-submit examples/src/main/python/ml/pipeline_example.py
> File
> "/spark-2.0.0-bin-hadoop2.7/examples/src/main/python/ml/pipeline_example.py",
> line 38
> (0L, "a b c d e spark", 1.0),
> ^
> SyntaxError: invalid syntax
> Removing 'L' from all occurrences resolves the issue.
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