spark-instrumented-optimizer/python/pyspark/mllib/stat/test.py
MechCoder d0b4e93f7e [SPARK-8996] [MLLIB] [PYSPARK] Python API for Kolmogorov-Smirnov Test
Python API for the KS-test

Statistics.kolmogorovSmirnovTest(data, distName, *params)
I'm not quite sure how to support the callable function since it is not serializable.

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #7430 from MechCoder/spark-8996 and squashes the following commits:

2dd009d [MechCoder] minor
021d233 [MechCoder] Remove one wrapper and other minor stuff
49d07ab [MechCoder] [SPARK-8996] [MLlib] Python API for Kolmogorov-Smirnov Test
2015-07-20 09:00:01 -07:00

83 lines
2.2 KiB
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.
#
from pyspark.mllib.common import inherit_doc, JavaModelWrapper
__all__ = ["ChiSqTestResult", "KolmogorovSmirnovTestResult"]
class TestResult(JavaModelWrapper):
"""
Base class for all test results.
"""
@property
def pValue(self):
"""
The probability of obtaining a test statistic result at least as
extreme as the one that was actually observed, assuming that the
null hypothesis is true.
"""
return self._java_model.pValue()
@property
def degreesOfFreedom(self):
"""
Returns the degree(s) of freedom of the hypothesis test.
Return type should be Number(e.g. Int, Double) or tuples of Numbers.
"""
return self._java_model.degreesOfFreedom()
@property
def statistic(self):
"""
Test statistic.
"""
return self._java_model.statistic()
@property
def nullHypothesis(self):
"""
Null hypothesis of the test.
"""
return self._java_model.nullHypothesis()
def __str__(self):
return self._java_model.toString()
@inherit_doc
class ChiSqTestResult(TestResult):
"""
Contains test results for the chi-squared hypothesis test.
"""
@property
def method(self):
"""
Name of the test method
"""
return self._java_model.method()
@inherit_doc
class KolmogorovSmirnovTestResult(TestResult):
"""
Contains test results for the Kolmogorov-Smirnov test.
"""