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python3Packages.dask-ml: 1.0.0 -> 1.1.1

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Also fix dependency issues
This commit is contained in:
Jonathan Ringer 2019-12-10 00:18:07 -08:00 committed by Jon
parent b2b2330c35
commit 430dc3b590
1 changed files with 27 additions and 6 deletions
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33
pkgs/development/python-modules/dask-ml/default.nix
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@ -1,6 +1,7 @@
{ stdenv
, buildPythonPackage
, fetchPypi
, pythonOlder
, dask
, numpy, toolz # dask[array]
, numba
@ -19,21 +20,41 @@
}:
buildPythonPackage rec {
version = "1.0.0";
version = "1.1.1";
pname = "dask-ml";
disabled = pythonOlder "3.6"; # >= 3.6
src = fetchPypi {
inherit pname version;
sha256 = "dde926478653bd03a3fbc501d3873a1534836608217b94d04320d1e1c07e59dc";
sha256 = "1yad9b9hd02rbdf6m1gfj74cjgcbyp7lxdj22d5h5rhv7xa3127x";
};
checkInputs = [ pytest xgboost tensorflow joblib distributed ];
propagatedBuildInputs = [ dask numpy toolz numba pandas scikitlearn scipy dask-glm six multipledispatch packaging ];
propagatedBuildInputs = [
dask
dask-glm
distributed
multipledispatch
numba
numpy
packaging
pandas
scikitlearn
scipy
six
toolz
];
# dask-ml has some heavy test requirements
# and requires some very new packages
# 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";