pythonPackages.dask-ml: init at 0.10.0

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

@@ -0,0 +1,43 @@
+{ stdenv
+, buildPythonPackage
+, fetchPypi
+, dask
+, numpy, toolz # dask[array]
+, numba
+, pandas
+, scikitlearn
+, scipy
+, dask-glm
+, six
+, multipledispatch
+, packaging
+, pytest
+, xgboost
+, tensorflow
+, joblib
+, distributed
+}:
+
+buildPythonPackage rec {
+  version = "0.10.0";
+  pname = "dask-ml";
+
+  src = fetchPypi {
+    inherit pname version;
+    sha256 = "4b6ca548c7282c1b6983e696e4bdfa0a2d7b51b168928b9322ea7a4b9a9f20f9";
+  };
+
+  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 ];
+  };
+}

pkgs/top-level/python-packages.nix

@@ -1984,6 +1984,8 @@ in {
 
   dask = callPackage ../development/python-modules/dask { };
 
+  dask-ml = callPackage ../development/python-modules/dask-ml { };
+
   datrie = callPackage ../development/python-modules/datrie { };
 
   heapdict = callPackage ../development/python-modules/heapdict { };