2021-02-05 17:12:51 +00:00
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{ lib
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2020-04-24 23:36:52 +00:00
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, buildPythonPackage
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, dask
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2022-06-16 17:23:12 +00:00
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, dask-glm
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, distributed
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, fetchPypi
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, multipledispatch
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2020-04-24 23:36:52 +00:00
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, numba
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2022-06-16 17:23:12 +00:00
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, numpy
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, packaging
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2020-04-24 23:36:52 +00:00
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, pandas
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2022-06-16 17:23:12 +00:00
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, pythonOlder
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2021-05-20 23:08:51 +00:00
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, scikit-learn
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2020-04-24 23:36:52 +00:00
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, scipy
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2021-04-25 03:57:28 +00:00
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, setuptools-scm
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2020-04-24 23:36:52 +00:00
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}:
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buildPythonPackage rec {
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pname = "dask-ml";
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2023-05-24 13:37:59 +00:00
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version = "2023.3.24";
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2022-06-16 17:23:12 +00:00
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format = "setuptools";
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disabled = pythonOlder "3.6";
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2020-04-24 23:36:52 +00:00
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src = fetchPypi {
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inherit pname version;
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2023-05-24 13:37:59 +00:00
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hash = "sha256-lsCQ220yg2U24/Ccpk3rWZ6GRYeqjj1NLGtK9YhzMwc=";
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2020-04-24 23:36:52 +00:00
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};
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2021-05-20 23:08:51 +00:00
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nativeBuildInputs = [
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setuptools-scm
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];
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2020-04-24 23:36:52 +00:00
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propagatedBuildInputs = [
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dask-glm
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distributed
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multipledispatch
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numba
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numpy
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packaging
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pandas
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2021-05-20 23:08:51 +00:00
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scikit-learn
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2020-04-24 23:36:52 +00:00
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scipy
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2022-06-26 10:26:21 +00:00
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] ++ dask.optional-dependencies.array
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++ dask.optional-dependencies.dataframe;
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2020-04-24 23:36:52 +00:00
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# has non-standard build from source, and pypi doesn't include tests
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doCheck = false;
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pythonImportsCheck = [
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"dask_ml"
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"dask_ml.naive_bayes"
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"dask_ml.wrappers"
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"dask_ml.utils"
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];
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2021-01-15 22:18:51 +00:00
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meta = with lib; {
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2020-04-24 23:36:52 +00:00
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description = "Scalable Machine Learn with Dask";
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2022-06-16 17:23:12 +00:00
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homepage = "https://github.com/dask/dask-ml";
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2020-04-24 23:36:52 +00:00
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license = licenses.bsd3;
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2023-08-04 22:07:22 +00:00
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maintainers = with maintainers; [ ];
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2020-04-24 23:36:52 +00:00
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};
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}
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