[ENH] Simplified Publish API with Automatic Type Recognition

[Omswastik-11]

initially

import sklearn
import openml

clf = KNeighborsClassifier(n_neighbors=3)
clf.fit(X_train, y_train)

# Verbose manual flow construction required
knn_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) for k, v in knn_parameters.items()},
    parameters_meta_info={
        "n_neighbors": {"description": "number of neighbors to use", "data_type": "int"}
    },
    components={},
)
knn_flow.publish()

API

from sklearn.neighbors import KNeighborsClassifier
import openml_sklearn  # Register the extension
import openml

clf = KNeighborsClassifier(n_neighbors=3)

openml.publish(clf)