43 lines
1 KiB
Nix
43 lines
1 KiB
Nix
{ lib
|
|
, buildPythonPackage
|
|
, fetchPypi
|
|
, isPy27
|
|
, pandas
|
|
, pytestCheckHook
|
|
, scikitlearn
|
|
}:
|
|
|
|
buildPythonPackage rec {
|
|
pname = "imbalanced-learn";
|
|
version = "0.8.0";
|
|
disabled = isPy27; # scikit-learn>=0.21 doesn't work on python2
|
|
|
|
src = fetchPypi {
|
|
inherit pname version;
|
|
sha256 = "0a9xrw4qsh95g85pg2611hvj6xcfncw646si2icaz22haw1x410w";
|
|
};
|
|
|
|
propagatedBuildInputs = [ scikitlearn ];
|
|
checkInputs = [ pytestCheckHook pandas ];
|
|
preCheck = ''
|
|
export HOME=$TMPDIR
|
|
'';
|
|
disabledTests = [
|
|
"estimator"
|
|
"classification"
|
|
"_generator"
|
|
"show_versions"
|
|
"test_make_imbalanced_iris"
|
|
"test_rusboost[SAMME.R]"
|
|
|
|
# https://github.com/scikit-learn-contrib/imbalanced-learn/issues/824
|
|
"ValueDifferenceMetric"
|
|
];
|
|
|
|
meta = with lib; {
|
|
description = "Library offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance";
|
|
homepage = "https://github.com/scikit-learn-contrib/imbalanced-learn";
|
|
license = licenses.mit;
|
|
maintainers = [ maintainers.rmcgibbo ];
|
|
};
|
|
}
|