Describe the bug
scikit learn has a is_classifier function that is used internally to detect whether the object is a classifier or not. It fails with AutoML(task="classifier"). More precisely, the __sklearn_tags__ method that is used in is_classifier returns a set of tags in which estimator_type ìs set to None, while getattr(AutoML(task="classifier"), "_estimator_type", None)|
I have stumbled on this issue while using a custom scorer which raises an error.
Finally, there is the same issue with the regression task which fails to be detected as a regressor by is_regressor
Steps to reproduce
from flaml import AutoML
from sklearn.base import is_classifier
is_classifier(AutoML(task="classifier")
AutoML(task="classifier").__sklearn_tags()
getattr(AutoML(task="classifier"), "_estimator_type", None)
Model Used
No response
Expected Behavior
AutoML(task="classifier") should be detected as a classifier.
Screenshots and logs
No response
Additional Information
FLAML Version : 2.3.6
Colab with Python 3.12.11