[ENH] Simplified Publish API with Automatic Type Recognition

[Omswastik-11]

initially

importsklearnimportopenmlclf=KNeighborsClassifier(n_neighbors=3) clf.fit(X_train, y_train) # Verbose manual flow construction requiredknn_flow=openml.flows.OpenMLFlow( model=clf, name="CustomKNeighborsClassifier", description="A custom KNeighborsClassifier flow for OpenML.", external_version=f"{sklearn.__version__}", language="English", tags=["openml_tutorial_knn"], dependencies=f"{sklearn.__version__}", parameters={k: str(v) fork, vinknn_parameters.items()}, parameters_meta_info={"n_neighbors":{"description": "number of neighbors to use", "data_type": "int"} }, components={}, ) knn_flow.publish()

API

fromsklearn.neighborsimportKNeighborsClassifierimportopenml_sklearn# Register the extensionimportopenmlclf=KNeighborsClassifier(n_neighbors=3) openml.publish(clf)

[fkiraly]

I get this is a draft still, some early comments.

• works for flows only, I would recommend to try for at least two different object types to see the dispatching challenge there.
• do the extension checking inside publish and not in the usage example

[Omswastik-11]

Thanks @fkiraly !!
I checked on flow , datset , task . it is working correctly but in run it is getting some server side issues.

Task 1 failed: https://test.openml.org/api/v1/xml/data/features/1 returned code 274: No features found. Additionally, dataset processed with error - None