Support DSSDataset or dataiku.Dataset in MLFlowVersionHandler.evaluate (#189)

* Support DSSDataset or dataiku.Dataset in MLFlowVersionHandler.evaluate

* Adjust a comment

Author: alarive

dataikuapi/dss/savedmodel.py

@@ -315,9 +315,10 @@ def evaluate(self, dataset_ref):
 
         :meth:`set_core_metadata` must be called before you can evaluate a dataset
 
-        :param str dataset_ref: Name of the evaluation dataset to use (either a dataset name or "PROJECT.datasetName")
+        :param str dataset_ref: Evaluation dataset to use (either a dataset name, "PROJECT.datasetName", DSSDataset instance or dataiku.Dataset instance)
         """
-        # TODO Add support for handling a DSSDataset or dataiku.Dataset as dataset_ref
+        if hasattr(dataset_ref, 'name'):
+            dataset_ref = dataset_ref.name
         req = {
             "datasetRef" : dataset_ref
         }
@@ -348,4 +349,4 @@ def prediction_metrics_settings(self):
     def save(self):
         """Saves the settings of this saved model"""
         self.saved_model.client._perform_empty("PUT", "/projects/%s/savedmodels/%s" % (self.saved_model.project_key, self.saved_model.sm_id),
-                    body=self.settings)
+                    body=self.settings)