Issue #279 MlModel has no need for CollectionMetadata

Author: soxofaan

openeo/rest/datacube.py

@@ -1802,7 +1802,7 @@ def fit_class_random_forest(
                 mtry=mtry
             )
         )
-        model = MlModel(graph=pgnode, connection=self._connection, metadata=None)
+        model = MlModel(graph=pgnode, connection=self._connection)
         return model
 
     def flatten_dimensions(self, dimensions: List[str], target_dimension: str, label_separator: Optional[str] = None):

openeo/rest/mlmodel.py

@@ -4,7 +4,6 @@
 import typing
 
 from openeo.internal.graph_building import PGNode
-from openeo.metadata import CollectionMetadata
 from openeo.rest.job import RESTJob
 from openeo.util import legacy_alias
 
@@ -18,11 +17,10 @@ class MlModel:
     """
     A machine learning model accompanied with STAC metadata, including the ml-model extension.
     """
-    def __init__(self, graph: PGNode, connection: 'Connection', metadata: CollectionMetadata = None):
+    def __init__(self, graph: PGNode, connection: 'Connection'):
         super().__init__()
         self._pg = graph
         self._connection = connection
-        self.metadata = metadata
 
     def __str__(self):
         return "MlModel({pg})".format(pg=self._pg)
@@ -62,7 +60,7 @@ def save_ml_model(self, format: str = "default", options: dict = None):
                 "options": options or {}
             }
         )
-        return MlModel(graph=pgnode, connection=self._connection, metadata=None or self.metadata)
+        return MlModel(graph=pgnode, connection=self._connection)
 
     def execute_batch(
             self,