Updated rst file for pyspark.mllib.rand doc. Small doc edit. Small in…

…clude edit to make IntelliJ happy.
apache · Dec 10, 2014 · c51eca4 · c51eca4
1 parent e230da1
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/python/docs/pyspark.mllib.rst b/python/docs/pyspark.mllib.rst
@@ -36,10 +36,10 @@ pyspark.mllib.linalg module
     :undoc-members:
     :show-inheritance:
 
-pyspark.mllib.random module
+pyspark.mllib.rand module
 ---------------------------
 
-.. automodule:: pyspark.mllib.random
+.. automodule:: pyspark.mllib.rand
     :members:
     :undoc-members:
     :show-inheritance:

diff --git 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.
 

diff --git a/python/pyspark/mllib/tests.py b/python/pyspark/mllib/tests.py
@@ -36,7 +36,7 @@
 from pyspark.mllib.linalg import Vector, SparseVector, DenseVector, VectorUDT, _convert_to_vector,\
     DenseMatrix
 from pyspark.mllib.regression import LabeledPoint
-from pyspark.mllib.random import RandomRDDs
+from pyspark.mllib.rand import RandomRDDs
 from pyspark.mllib.stat import Statistics
 from pyspark.serializers import PickleSerializer
 from pyspark.sql import SQLContext