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| author | Joseph K. Bradley <joseph@databricks.com> | 2014-12-17 14:12:46 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2014-12-17 14:12:46 -0800 |
| commit | affc3f460fc6172b6cea88a8779d6d40166c1c6b (patch) | |
| tree | 4fc2052583c84f5b29a15ac6403e9b0589057599 /python/pyspark/mllib/feature.py | |
| parent | 636d9fc450faaa0d8e82e0d34bb7b791e3812cb7 (diff) | |
| download | spark-affc3f460fc6172b6cea88a8779d6d40166c1c6b.tar.gz spark-affc3f460fc6172b6cea88a8779d6d40166c1c6b.tar.bz2 spark-affc3f460fc6172b6cea88a8779d6d40166c1c6b.zip | |
[SPARK-4821] [mllib] [python] [docs] Fix for pyspark.mllib.rand doc
+ small doc edit
+ include edit to make IntelliJ happy
CC: davies mengxr
Note to davies -- this does not fix the "WARNING: Literal block expected; none found." warnings since that seems to involve spacing which IntelliJ does not like. (Those warnings occur when generating the Python docs.)
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #3669 from jkbradley/python-warnings and squashes the following commits:
4587868 [Joseph K. Bradley] fixed warning
8cb073c [Joseph K. Bradley] Updated based on davies recommendation
c51eca4 [Joseph K. Bradley] Updated rst file for pyspark.mllib.rand doc. Small doc edit. Small include edit to make IntelliJ happy.
Diffstat (limited to 'python/pyspark/mllib/feature.py')
| -rw-r--r-- | python/pyspark/mllib/feature.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/python/pyspark/mllib/feature.py b/python/pyspark/mllib/feature.py index 741c630cbd..e46af20886 100644 --- a/python/pyspark/mllib/feature.py +++ b/python/pyspark/mllib/feature.py @@ -53,10 +53,10 @@ class Normalizer(VectorTransformer): """ :: Experimental :: - Normalizes samples individually to unit L\ :sup:`p`\ norm + Normalizes samples individually to unit L\ :sup:`p`\ norm - For any 1 <= `p` <= float('inf'), normalizes samples using - sum(abs(vector). :sup:`p`) :sup:`(1/p)` as norm. + For any 1 <= `p` < float('inf'), normalizes samples using + sum(abs(vector) :sup:`p`) :sup:`(1/p)` as norm. For `p` = float('inf'), max(abs(vector)) will be used as norm for normalization. |