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| author | Matei Zaharia <matei@databricks.com> | 2014-01-10 00:12:43 -0800 |
|---|---|---|
| committer | Matei Zaharia <matei@databricks.com> | 2014-01-11 22:30:48 -0800 |
| commit | 4c28a2bad8a6d64ee69213eede440837636fe58b (patch) | |
| tree | ec33a07ead7ec3bd120c94594a42e2d19b556c79 /mllib/data | |
| parent | 9a0dfdf868187fb9a2e1656e4cf5f29d952ce5db (diff) | |
| download | spark-4c28a2bad8a6d64ee69213eede440837636fe58b.tar.gz spark-4c28a2bad8a6d64ee69213eede440837636fe58b.tar.bz2 spark-4c28a2bad8a6d64ee69213eede440837636fe58b.zip | |
Update some Python MLlib parameters to use camelCase, and tweak docs
We've used camel case in other Spark methods so it felt reasonable to
keep using it here and make the code match Scala/Java as much as
possible. Note that parameter names matter in Python because it allows
passing optional parameters by name.
Diffstat (limited to 'mllib/data')
0 files changed, 0 insertions, 0 deletions