[spark] branch branch-2.4 updated: [SPARK-28170][ML][PYTHON] Uniform Vectors and Matrix documentation

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gurwls223 pushed a commit to branch branch-2.4
in repository https://gitbox.apache.org/repos/asf/spark.git


The following commit(s) were added to refs/heads/branch-2.4 by this push:
     new d57b392  [SPARK-28170][ML][PYTHON] Uniform Vectors and Matrix documentation
d57b392 is described below

commit d57b392961167bb8dfd888d79efa947277d62ec9
Author: Marco Gaido <ma...@gmail.com>
AuthorDate: Mon Jul 1 11:40:12 2019 +0900

    [SPARK-28170][ML][PYTHON] Uniform Vectors and Matrix documentation
    
    ## What changes were proposed in this pull request?
    
    The documentation in `linalg.py` is not consistent. This PR uniforms the documentation.
    
    ## How was this patch tested?
    
    NA
    
    Closes #25011 from mgaido91/SPARK-28170.
    
    Authored-by: Marco Gaido <ma...@gmail.com>
    Signed-off-by: HyukjinKwon <gu...@apache.org>
    (cherry picked from commit 048224ce9a3bdb304ba24852ecc66c7f14c25c11)
    Signed-off-by: HyukjinKwon <gu...@apache.org>
---
 python/pyspark/ml/linalg/__init__.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/python/pyspark/ml/linalg/__init__.py b/python/pyspark/ml/linalg/__init__.py
index 9da9836..9261d65 100644
--- a/python/pyspark/ml/linalg/__init__.py
+++ b/python/pyspark/ml/linalg/__init__.py
@@ -386,14 +386,14 @@ class DenseVector(Vector):
 
     def toArray(self):
         """
-        Returns an numpy.ndarray
+        Returns the underlying numpy.ndarray
         """
         return self.array
 
     @property
     def values(self):
         """
-        Returns a list of values
+        Returns the underlying numpy.ndarray
         """
         return self.array
 
@@ -681,7 +681,7 @@ class SparseVector(Vector):
 
     def toArray(self):
         """
-        Returns a copy of this SparseVector as a 1-dimensional NumPy array.
+        Returns a copy of this SparseVector as a 1-dimensional numpy.ndarray.
         """
         arr = np.zeros((self.size,), dtype=np.float64)
         arr[self.indices] = self.values
@@ -862,7 +862,7 @@ class Matrix(object):
 
     def toArray(self):
         """
-        Returns its elements in a NumPy ndarray.
+        Returns its elements in a numpy.ndarray.
         """
         raise NotImplementedError
 
@@ -937,7 +937,7 @@ class DenseMatrix(Matrix):
 
     def toArray(self):
         """
-        Return an numpy.ndarray
+        Return a numpy.ndarray
 
         >>> m = DenseMatrix(2, 2, range(4))
         >>> m.toArray()
@@ -1121,7 +1121,7 @@ class SparseMatrix(Matrix):
 
     def toArray(self):
         """
-        Return an numpy.ndarray
+        Return a numpy.ndarray
         """
         A = np.zeros((self.numRows, self.numCols), dtype=np.float64, order='F')
         for k in xrange(self.colPtrs.size - 1):


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