[FEATURE] Add support for outlier detectors

[asdf32768]

Hi,
I'm trying to finetune Isolation Forest hyperparameters (
param_grid = {'contamination': Continuous(0.001, 0.5, distribution='log-uniform'), 'n_estimators': Integer(100, X_train.shape[0]), 'max_samples': Integer(1, X_train.shape[0]), 'max_features': Integer(1, X_train.shape[1]), 'boostrap': Categorical([True, False])})

using GASearchCV and I then get this error:

272 # Check that the estimator is compatible with scikit-learn
273 if not is_classifier(self.estimator) and not is_regressor(self.estimator):
--> 274 raise ValueError(f"{self.estimator} is not a valid Sklearn classifier or regressor")
275
276 if criteria not in Criteria.list():
ValueError: IsolationForest() is not a valid Sklearn classifier or regressor

Could you please add support for anomaly detection algorithms, such as IsolationForest.

[XBastille]

hello @rodrigo-arenas , I have opened a PR related to this issue, kindly check!! #163