Using hyperopt_search with regressors

[aelabibi]

Hello,

I am trying to use hyperopt_search with random_forest_regression and gradient_boosting_regressor but I got the following error :

TypeError: estimator should be an estimator implementing 'fit' method, <hyperopt.pyll.base.Apply object at 0x000000000D093048> was passed

And in one of the lines error it checks if it is a classifier :

C:\user\Anaconda3\lib\site-packages\sklearn\cross_validation.py in cross_val_score(estimator, X, y, scoring, cv, n_jobs, verbose, fit_params, pre_dispatch)
   1571 
   1572     cv = check_cv(cv, X, y, classifier=is_classifier(estimator))
-> 1573     scorer = check_scoring(estimator, scoring=scoring)
   1574     # We clone the estimator to make sure that all the folds are
   1575     # independent, and that it is pickle-able. 

I am wondering if the error comes from using a regressor and not a classifier.
Thank you for your help.

Regards.