2018-09-13 20:12:21 +01:00
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{ stdenv
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, buildPythonPackage
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, fetchPypi
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, dask
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, numpy, toolz # dask[array]
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, numba
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, pandas
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, scikitlearn
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, scipy
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, dask-glm
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, six
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, multipledispatch
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, packaging
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, pytest
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, xgboost
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, tensorflow
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, joblib
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, distributed
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}:
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buildPythonPackage rec {
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2019-10-24 07:47:28 +01:00
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version = "1.0.0";
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2018-09-13 20:12:21 +01:00
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pname = "dask-ml";
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src = fetchPypi {
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inherit pname version;
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2019-10-24 07:47:28 +01:00
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sha256 = "dde926478653bd03a3fbc501d3873a1534836608217b94d04320d1e1c07e59dc";
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2018-09-13 20:12:21 +01:00
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};
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checkInputs = [ pytest xgboost tensorflow joblib distributed ];
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propagatedBuildInputs = [ dask numpy toolz numba pandas scikitlearn scipy dask-glm six multipledispatch packaging ];
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# dask-ml has some heavy test requirements
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# and requires some very new packages
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doCheck = false;
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meta = with stdenv.lib; {
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homepage = https://github.com/dask/dask-ml;
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description = "Scalable Machine Learn with Dask";
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license = licenses.bsd3;
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maintainers = [ maintainers.costrouc ];
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};
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}
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