Provides basics for later scikit learn interface implementation. File structure

base.py

"""
scikit learn interface for gensim for easy use of gensim with scikit-learn


"""
class BaseClass(object):
    def __init__(self):
        """init"""
    def run(self):
        return 0

init.py

"""scikit learn wrapper for gensim
Contains various gensim based implementations
which match with scikit-learn standards .
See [1] for complete set of conventions.
[1] http://scikit-learn.org/stable/developers/
"""

test_sklearn_integration.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2010 Radim Rehurek <radimrehurek@seznam.cz>
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html

"""
Tests for sklearn_integration interface
"""


import logging
import unittest
import os
import os.path


from gensim.sklearn_integration import base


class TestSklearn(unittest.TestCase):
    """
    write test script
    """
    #for now
    def testRun(self):
        model=base.BaseClass()
        self.assertEquals(model.run(),0)

if __name__ == '__main__':
    logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.DEBUG)
    unittest.main()