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{ stdenv
, buildPythonPackage
, fetchPypi
, pythonOlder
, dask
, numpy, toolz # dask[array]
, numba
, pandas
, scikitlearn
, scipy
, dask-glm
, six
, multipledispatch
, packaging
, pytest
, xgboost
, tensorflow
, joblib
, distributed
}:
buildPythonPackage rec {
version = "1.2.0";
pname = "dask-ml";
disabled = pythonOlder "3.6"; # >= 3.6
src = fetchPypi {
inherit pname version;
sha256 = "0ppg8licvkxz1af2q87cxms2p6ss2r5d4fdkbcivph56r0v0ci2k";
};
propagatedBuildInputs = [
dask
dask-glm
distributed
multipledispatch
numba
numpy
packaging
pandas
scikitlearn
scipy
six
toolz
];
# has non-standard build from source, and pypi doesn't include tests
doCheck = false;
# in lieu of proper tests
pythonImportsCheck = [
"dask_ml"
"dask_ml.naive_bayes"
"dask_ml.wrappers"
"dask_ml.utils"
];
meta = with stdenv.lib; {
homepage = https://github.com/dask/dask-ml;
description = "Scalable Machine Learn with Dask";
license = licenses.bsd3;
maintainers = [ maintainers.costrouc ];
};
}
|