2019-07-30 02:04:49 +02:00
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{ stdenv, buildPythonPackage, fetchPypi, isPy27
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, nose
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, pandas
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, pytest
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, scikitlearn
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, tensorflow
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}:
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2018-03-31 19:49:52 +02:00
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buildPythonPackage rec {
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pname = "imbalanced-learn";
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2019-12-19 20:31:13 +01:00
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version = "0.6.1";
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2019-07-30 02:04:49 +02:00
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disabled = isPy27; # scikit-learn>=0.21 doesn't work on python2
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2018-03-31 19:49:52 +02:00
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src = fetchPypi {
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inherit pname version;
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2019-12-19 20:31:13 +01:00
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sha256 = "94f846ff8d19ee9ea42ba6feddfbc85d5b42098bd3b62318f8d3bc5c7133b274";
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2018-03-31 19:49:52 +02:00
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};
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propagatedBuildInputs = [ scikitlearn ];
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checkInputs = [ nose pytest pandas ];
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checkPhase = ''
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2019-07-30 02:04:49 +02:00
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export HOME=$TMPDIR
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2018-03-31 19:49:52 +02:00
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# skip some tests that fail because of minimal rounding errors
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2019-07-30 02:04:49 +02:00
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# or very large dependencies (keras + tensorflow)
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py.test imblearn -k 'not estimator \
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and not classification \
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2019-11-28 01:58:15 +01:00
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and not _generator \
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and not show_versions'
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2018-03-31 19:49:52 +02:00
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'';
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meta = with stdenv.lib; {
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description = "Library offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance";
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homepage = https://github.com/scikit-learn-contrib/imbalanced-learn;
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license = licenses.mit;
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};
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}
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