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author | Xiangrui Meng <meng@databricks.com> | 2015-04-01 16:47:18 -0700 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-04-01 16:47:18 -0700 |
commit | ccafd757eda478913f783f3127be715bf6413740 (patch) | |
tree | 96459c20b8183b5742fb55fa31e030bf5daabf0f /python/pyspark/mllib/tests.py | |
parent | f084c5de14eb10a6aba82a39e03e7877926ebb9e (diff) | |
download | spark-ccafd757eda478913f783f3127be715bf6413740.tar.gz spark-ccafd757eda478913f783f3127be715bf6413740.tar.bz2 spark-ccafd757eda478913f783f3127be715bf6413740.zip |
[SPARK-6642][MLLIB] use 1.2 lambda scaling and remove addImplicit from NormalEquation
This PR changes lambda scaling from number of users/items to number of explicit ratings. The latter is the behavior in 1.2. Slight refactor of NormalEquation to make it independent of ALS models. srowen codexiang
Author: Xiangrui Meng <meng@databricks.com>
Closes #5314 from mengxr/SPARK-6642 and squashes the following commits:
dc655a1 [Xiangrui Meng] relax python tests
f410df2 [Xiangrui Meng] use 1.2 scaling and remove addImplicit from NormalEquation
Diffstat (limited to 'python/pyspark/mllib/tests.py')
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