56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
"""
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Machine Learning module in python
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=================================
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sklearn is a Python module integrating classical machine
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learning algorithms in the tightly-knit world of scientific Python
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packages (numpy, scipy, matplotlib).
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It aims to provide simple and efficient solutions to learning problems
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that are accessible to everybody and reusable in various contexts:
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machine-learning as a versatile tool for science and engineering.
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See http://scikit-learn.sourceforge.net for complete documentation.
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"""
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from . import check_build
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from .base import clone
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try:
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from numpy.testing import nosetester
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class NoseTester(nosetester.NoseTester):
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""" Subclass numpy's NoseTester to add doctests by default
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"""
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def test(self, label='fast', verbose=1, extra_argv=['--exe'],
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doctests=True, coverage=False):
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"""Run the full test suite
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Examples
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--------
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This will run the test suite and stop at the first failing
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example
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>>> from sklearn import test
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>>> test(extra_argv=['--exe', '-sx']) #doctest: +SKIP
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"""
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return super(NoseTester, self).test(label=label, verbose=verbose,
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extra_argv=extra_argv,
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doctests=doctests, coverage=coverage)
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test = NoseTester().test
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del nosetester
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except:
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pass
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__all__ = ['check_build', 'cross_validation', 'cluster', 'covariance',
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'datasets', 'decomposition', 'feature_extraction',
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'feature_selection', 'semi_supervised',
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'gaussian_process', 'grid_search', 'hmm', 'lda', 'linear_model',
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'metrics', 'mixture', 'naive_bayes', 'neighbors', 'pipeline',
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'preprocessing', 'qda', 'svm', 'test', 'clone', 'pls']
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__version__ = '0.11-git'
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