Scaling and preprocessing #3
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overall +1 for the merge |
jakevdp
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larsmans
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Various improvements to mldata branch + merge from master
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Jakevdp neighbors refactor
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…#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std #1 * Changing predict_std to return_std #2 * Changing predict_std to return_std #3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
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…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std #1 * Changing predict_std to return_std scikit-learn#2 * Changing predict_std to return_std scikit-learn#3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
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add sparsity test
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…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std scikit-learn#1 * Changing predict_std to return_std scikit-learn#2 * Changing predict_std to return_std scikit-learn#3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
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* add test for _preprocess_data and make it consistent * fix pep8 * add doc, cast systematically y in X.dtype and update test_coordinate_descent.py * test if input values don't change with copy=True * test if input values don't change with copy=True scikit-learn#2 * fix doc * fix doc scikit-learn#2 * fix doc scikit-learn#3
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* add test for _preprocess_data and make it consistent * fix pep8 * add doc, cast systematically y in X.dtype and update test_coordinate_descent.py * test if input values don't change with copy=True * test if input values don't change with copy=True scikit-learn#2 * fix doc * fix doc scikit-learn#2 * fix doc scikit-learn#3
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…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std #1 * Changing predict_std to return_std scikit-learn#2 * Changing predict_std to return_std scikit-learn#3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
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* add test for _preprocess_data and make it consistent * fix pep8 * add doc, cast systematically y in X.dtype and update test_coordinate_descent.py * test if input values don't change with copy=True * test if input values don't change with copy=True scikit-learn#2 * fix doc * fix doc scikit-learn#2 * fix doc scikit-learn#3
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* add test for _preprocess_data and make it consistent * fix pep8 * add doc, cast systematically y in X.dtype and update test_coordinate_descent.py * test if input values don't change with copy=True * test if input values don't change with copy=True scikit-learn#2 * fix doc * fix doc scikit-learn#2 * fix doc scikit-learn#3
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…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std scikit-learn#1 * Changing predict_std to return_std scikit-learn#2 * Changing predict_std to return_std scikit-learn#3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
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* add test for _preprocess_data and make it consistent * fix pep8 * add doc, cast systematically y in X.dtype and update test_coordinate_descent.py * test if input values don't change with copy=True * test if input values don't change with copy=True scikit-learn#2 * fix doc * fix doc scikit-learn#2 * fix doc scikit-learn#3
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* add test for _preprocess_data and make it consistent * fix pep8 * add doc, cast systematically y in X.dtype and update test_coordinate_descent.py * test if input values don't change with copy=True * test if input values don't change with copy=True scikit-learn#2 * fix doc * fix doc scikit-learn#2 * fix doc scikit-learn#3
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Merge pull request scikit-learn#2 from dataignitelab/master
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Merging changes from the main repository
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…cython-radius Add RadiusNeighborhood as a PairwiseDistancesReduction
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this is just a draft but maybe a good start to think about this ticket:
http://sourceforge.net/apps/trac/scikit-learn/ticket/117
the scaling of data is either done by hand right now or handled
by the different estimators in a non-uniform way.