spark-instrumented-optimizer/python/pyspark/mllib
Xiangrui Meng d75496b189 [SPARK-3701][MLLIB] update python linalg api and small fixes
1. doc updates
2. simple checks on vector dimensions
3. use column major for matrices

davies jkbradley

Author: Xiangrui Meng <meng@databricks.com>

Closes #2548 from mengxr/mllib-py-clean and squashes the following commits:

6dce2df [Xiangrui Meng] address comments
116b5db [Xiangrui Meng] use np.dot instead of array.dot
75f2fcc [Xiangrui Meng] fix python style
fefce00 [Xiangrui Meng] better check of vector size with more tests
067ef71 [Xiangrui Meng] majored -> major
ef853f9 [Xiangrui Meng] update python linalg api and small fixes
2014-09-30 17:10:36 -07:00
..
__init__.py SPARK-1426: Make MLlib work with NumPy versions older than 1.7 2014-04-15 00:19:43 -07:00
classification.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
clustering.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
linalg.py [SPARK-3701][MLLIB] update python linalg api and small fixes 2014-09-30 17:10:36 -07:00
random.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
recommendation.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
regression.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
stat.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
tests.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
tree.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00
util.py [SPARK-3491] [MLlib] [PySpark] use pickle to serialize data in MLlib 2014-09-19 15:01:11 -07:00