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| author | noelsmith <mail@noelsmith.com> | 2015-09-21 14:24:19 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-09-21 14:24:19 -0700 |
| commit | 7c4f852bfc39537840f56cd8121457a0dc1ad7c1 (patch) | |
| tree | 12c3ae141dc204124c86e3a644a8c97434db5755 /python/pyspark/mllib | |
| parent | 362539f8d97f6bb67f0d0983f7dea36b77cc9d18 (diff) | |
| download | spark-7c4f852bfc39537840f56cd8121457a0dc1ad7c1.tar.gz spark-7c4f852bfc39537840f56cd8121457a0dc1ad7c1.tar.bz2 spark-7c4f852bfc39537840f56cd8121457a0dc1ad7c1.zip | |
[DOC] [PYSPARK] [MLLIB] Added newlines to docstrings to fix parameter formatting
Added newlines before `:param ...:` and `:return:` markup. Without these, parameter lists aren't formatted correctly in the API docs. I.e:
.. looks like this once newline is added:
Author: noelsmith <mail@noelsmith.com>
Closes #8851 from noel-smith/docstring-missing-newline-fix.
Diffstat (limited to 'python/pyspark/mllib')
| -rw-r--r-- | python/pyspark/mllib/evaluation.py | 2 | ||||
| -rw-r--r-- | python/pyspark/mllib/linalg/__init__.py | 1 |
2 files changed, 2 insertions, 1 deletions
diff --git a/python/pyspark/mllib/evaluation.py b/python/pyspark/mllib/evaluation.py index 4398ca86f2..a90e5c50e5 100644 --- a/python/pyspark/mllib/evaluation.py +++ b/python/pyspark/mllib/evaluation.py @@ -147,7 +147,7 @@ class MulticlassMetrics(JavaModelWrapper): """ Evaluator for multiclass classification. - :param predictionAndLabels an RDD of (prediction, label) pairs. + :param predictionAndLabels: an RDD of (prediction, label) pairs. >>> predictionAndLabels = sc.parallelize([(0.0, 0.0), (0.0, 1.0), (0.0, 0.0), ... (1.0, 0.0), (1.0, 1.0), (1.0, 1.0), (1.0, 1.0), (2.0, 2.0), (2.0, 0.0)]) diff --git a/python/pyspark/mllib/linalg/__init__.py b/python/pyspark/mllib/linalg/__init__.py index f929e3e96f..ea42127f16 100644 --- a/python/pyspark/mllib/linalg/__init__.py +++ b/python/pyspark/mllib/linalg/__init__.py @@ -240,6 +240,7 @@ class Vector(object): def toArray(self): """ Convert the vector into an numpy.ndarray + :return: numpy.ndarray """ raise NotImplementedError |