Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/5872#discussion_r29812034
--- Diff: python/pyspark/mllib/linalg.py ---
@@ -387,8 +415,50 @@ def __init__(self, size, *args):
if self.indices[i] >= self.indices[i + 1]:
raise TypeError("indices array must be sorted")
+ def numNonzeros(self):
+ return np.count_nonzero(self.values)
+
+ def norm(self, p):
+ """
+ Calculte the norm of a SparseVector.
+
+ >>> a = SparseVector(4, [0, 1], [3., -4.])
+ >>> a.norm(1)
+ 7.0
+ >>> a.norm(2)
+ 5.0
+ """
+ return np.linalg.norm(self.values, p)
+
def __reduce__(self):
- return (SparseVector, (self.size, self.indices.tostring(),
self.values.tostring()))
+ return (
+ SparseVector,
+ (self.size, self.indices.tostring(), self.values.tostring()))
+
+ @staticmethod
+ def parse(vectorString):
--- End diff --
parse() needs to print out error messages upon failed parses; please see
the Scala version, which prints the full line which failed to parse.
Can the argument please be "s" to match Scala?
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