feat: support for loose init model from run (#1371)

openml/runs/functions.py

@@ -364,7 +364,7 @@ def get_run_trace(run_id: int) -> OpenMLRunTrace:
     return OpenMLRunTrace.trace_from_xml(trace_xml)
 
 
-def initialize_model_from_run(run_id: int) -> Any:
+def initialize_model_from_run(run_id: int, *, strict_version: bool = True) -> Any:
     """
     Initialized a model based on a run_id (i.e., using the exact
     same parameter settings)
@@ -373,6 +373,8 @@ def initialize_model_from_run(run_id: int) -> Any:
     ----------
     run_id : int
         The Openml run_id
+    strict_version: bool (default=True)
+        See `flow_to_model` strict_version.
 
     Returns
     -------
@@ -382,7 +384,7 @@ def initialize_model_from_run(run_id: int) -> Any:
     # TODO(eddiebergman): I imagine this is None if it's not published,
     # might need to raise an explicit error for that
     assert run.setup_id is not None
-    return initialize_model(run.setup_id)
+    return initialize_model(setup_id=run.setup_id, strict_version=strict_version)
 
 
 def initialize_model_from_trace(

openml/setups/functions.py

@@ -265,7 +265,7 @@ def __list_setups(
     return setups
 
 
-def initialize_model(setup_id: int) -> Any:
+def initialize_model(setup_id: int, *, strict_version: bool = True) -> Any:
     """
     Initialized a model based on a setup_id (i.e., using the exact
     same parameter settings)
@@ -274,6 +274,8 @@ def initialize_model(setup_id: int) -> Any:
     ----------
     setup_id : int
         The Openml setup_id
+    strict_version: bool (default=True)
+        See `flow_to_model` strict_version.
 
     Returns
     -------
@@ -294,7 +296,7 @@ def initialize_model(setup_id: int) -> Any:
                 subflow = flow
             subflow.parameters[hyperparameter.parameter_name] = hyperparameter.value
 
-    return flow.extension.flow_to_model(flow)
+    return flow.extension.flow_to_model(flow, strict_version=strict_version)
 
 
 def _to_dict(

tests/test_runs/test_run_functions.py

@@ -1905,6 +1905,16 @@ def test_delete_run(self):
         _run_id = run.run_id
         assert delete_run(_run_id)
 
+    @unittest.skipIf(
+        Version(sklearn.__version__) < Version("0.20"),
+        reason="SimpleImputer doesn't handle mixed type DataFrame as input",
+    )
+    def test_initialize_model_from_run_nonstrict(self):
+        # We cannot guarantee that a run with an older version exists on the server.
+        # Thus, we test it simply with a run that we know exists that might not be loose.
+        # This tests all lines of code for OpenML but not the initialization, which we do not want to guarantee anyhow.
+        _ = openml.runs.initialize_model_from_run(run_id=1, strict_version=False)
+
 
 @mock.patch.object(requests.Session, "delete")
 def test_delete_run_not_owned(mock_delete, test_files_directory, test_api_key):