5 commits

Author	SHA1	Message	Date
Matei Zaharia	9a0dfdf868	Add Naive Bayes to Python MLlib, and some API fixes ... - Added a Python wrapper for Naive Bayes - Updated the Scala Naive Bayes to match the style of our other algorithms better and in particular make it easier to call from Java (added builder pattern, removed default value in train method) - Updated Python MLlib functions to not require a SparkContext; we can get that from the RDD the user gives - Added a toString method in LabeledPoint - Made the Python MLlib tests run as part of run-tests as well (before they could only be run individually through each file)	2014-01-11 22:30:48 -08:00
Hossein Falaki	04132ea9b2	Added Rating deserializer	2014-01-06 12:19:08 -08:00
Hossein Falaki	8d0c2f7399	Added python binding for bulk recommendation	2014-01-04 16:23:17 -08:00
Tor Myklebust	02208a175c	Initial weights in Scala are ones; do that too. Also fix some errors.	2013-12-25 00:53:48 -05:00
Tor Myklebust	05163057a1	Split the mllib bindings into a whole bunch of modules and rename some things.	2013-12-25 00:08:05 -05:00

Renamed from python/pyspark/mllib.py (Browse further)