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| author | Xiangrui Meng <meng@databricks.com> | 2015-04-01 13:29:04 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-04-01 13:29:04 -0700 |
| commit | 2275acce7ba5fac83c58554d7ee9f4c7f3e866cf (patch) | |
| tree | 549528661913b755956ea1d20b4aa15a2833b8c5 /python/docs/pyspark.streaming.rst | |
| parent | ee11be258251adf900680927ba200bf46512cc04 (diff) | |
| download | spark-2275acce7ba5fac83c58554d7ee9f4c7f3e866cf.tar.gz spark-2275acce7ba5fac83c58554d7ee9f4c7f3e866cf.tar.bz2 spark-2275acce7ba5fac83c58554d7ee9f4c7f3e866cf.zip | |
[SPARK-6651][MLLIB] delegate dense vector arithmetics to the underlying numpy array
Users should be able to use numpy operators directly on dense vectors. davies atalwalkar
Author: Xiangrui Meng <meng@databricks.com>
Closes #5312 from mengxr/SPARK-6651 and squashes the following commits:
e665c5c [Xiangrui Meng] wrap the result in a dense vector
23dfca3 [Xiangrui Meng] delegate dense vector arithmetics to the underlying numpy array
Diffstat (limited to 'python/docs/pyspark.streaming.rst')
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