GitHub user HyukjinKwon opened a pull request:
https://github.com/apache/spark/pull/16515
[MINOR][PYTHON][EXAMPLE] Fix binary classification metrics example to work
## What changes were proposed in this pull request?
LibSVM datasource loads `ml.linalg.SparseVector` whereas the examples
requires it to be `mllib.linalg.SparseVector`. Scala exmaples,
`BinaryClassificationMetricsExample.scala` is fine.
```
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
```
## How was this patch tested?
Manually via
```
./bin/spark-submit
examples/src/main/python/mllib/binary_classification_metrics_example.py
```
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HyukjinKwon/spark minor-example-fix
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16515.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #16515
----
commit 9a4fd40609d6ef71dc3fd3db0f72502eb3f070f0
Author: hyukjinkwon <[email protected]>
Date: 2017-01-09T10:31:15Z
Fix binary classification metrics example to work
----
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