spark-instrumented-optimizer/python/pyspark/mllib/__init__.py
Michael Nazario a76c2e128b [SPARK-7899] [PYSPARK] Fix Python 3 pyspark/sql/types module conflict
This PR makes the types module in `pyspark/sql/types` work with pylint static analysis by removing the dynamic naming of the `pyspark/sql/_types` module to `pyspark/sql/types`.

Tests are now loaded using `$PYSPARK_DRIVER_PYTHON -m module` rather than `$PYSPARK_DRIVER_PYTHON module.py`. The old method adds the location of `module.py` to `sys.path`, so this change prevents accidental use of relative paths in Python.

Author: Michael Nazario <mnazario@palantir.com>

Closes #6439 from mnazario/feature/SPARK-7899 and squashes the following commits:

366ef30 [Michael Nazario] Remove hack on random.py
bb8b04d [Michael Nazario] Make doctests consistent with other tests
6ee4f75 [Michael Nazario] Change test scripts to use "-m"
673528f [Michael Nazario] Move _types back to types
2015-06-01 16:56:04 -07:00

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Python

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""
Python bindings for MLlib.
"""
from __future__ import absolute_import
# MLlib currently needs NumPy 1.4+, so complain if lower
import numpy
if numpy.version.version < '1.4':
raise Exception("MLlib requires NumPy 1.4+")
__all__ = ['classification', 'clustering', 'feature', 'fpm', 'linalg', 'random',
'recommendation', 'regression', 'stat', 'tree', 'util']