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#
# 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.
"""
# MLlib currently needs and 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', 'linalg', 'random',
'recommendation', 'regression', 'stat', 'tree', 'util']
import sys
import rand as random
random.__name__ = 'random'
random.RandomRDDs.__module__ = __name__ + '.random'
class RandomModuleHook(object):
"""
Hook to import pyspark.mllib.random
"""
fullname = __name__ + '.random'
def find_module(self, name, path=None):
# skip all other modules
if not name.startswith(self.fullname):
return
return self
def load_module(self, name):
if name == self.fullname:
return random
cname = name.rsplit('.', 1)[-1]
try:
return getattr(random, cname)
except AttributeError:
raise ImportError
sys.meta_path.append(RandomModuleHook())
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