python3Packages.dask-ml: 1.0.0 -> 1.1.1

Also fix dependency issues

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

@@ -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 = [
-  propagatedBuildInputs = [ dask numpy toolz numba pandas scikitlearn scipy dask-glm six multipledispatch packaging ];
+    dask
+    dask-glm
+    distributed
+    multipledispatch
+    numba
+    numpy
+    packaging
+    pandas
+    scikitlearn
+    scipy
+    six
+    toolz
+  ];
 
-  # dask-ml has some heavy test requirements
+  # has non-standard build from source, and pypi doesn't include tests
-  # and requires some very new packages
   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";