nixpkgs/pkgs/development/python-modules/dask-ml/default.nix

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{ stdenv
, buildPythonPackage
, fetchPypi
, dask
, numpy, toolz # dask[array]
, numba
, pandas
, scikitlearn
, scipy
, dask-glm
, six
, multipledispatch
, packaging
, pytest
, xgboost
, tensorflow
, joblib
, distributed
}:
buildPythonPackage rec {
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version = "0.11.0";
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pname = "dask-ml";
src = fetchPypi {
inherit pname version;
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sha256 = "a9e8e69494560dc23534adb236e88b3b21dc30a156648453c9c6e4b27ff2df96";
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};
checkInputs = [ pytest xgboost tensorflow joblib distributed ];
propagatedBuildInputs = [ dask numpy toolz numba pandas scikitlearn scipy dask-glm six multipledispatch packaging ];
# dask-ml has some heavy test requirements
# and requires some very new packages
doCheck = false;
meta = with stdenv.lib; {
homepage = https://github.com/dask/dask-ml;
description = "Scalable Machine Learn with Dask";
license = licenses.bsd3;
maintainers = [ maintainers.costrouc ];
};
}