You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "AbderRahman Sobh (JIRA)" <ji...@apache.org> on 2016/10/15 00:26:20 UTC
[jira] [Created] (SPARK-17950) Match SparseVector behavior with
DenseVector
AbderRahman Sobh created SPARK-17950:
----------------------------------------
Summary: Match SparseVector behavior with DenseVector
Key: SPARK-17950
URL: https://issues.apache.org/jira/browse/SPARK-17950
Project: Spark
Issue Type: Improvement
Components: MLlib, PySpark
Affects Versions: 2.0.1
Reporter: AbderRahman Sobh
Priority: Minor
Simply added the `__getattr__` to SparseVector that DenseVector has, but calls self.toArray() instead of storing a vector all the time in self.array
This allows for use of numpy functions on the values of a SparseVector in the same direct way that users interact with DenseVectors.
i.e. you can simply call SparseVector.mean() to average the values in the entire vector.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org