Loop on all sklearn models

loop_sklearn_models.py

from sklearn.utils import all_estimators
from tqdm import tqdm


# Get all scikit-learn regressors
estimators = all_estimators(type_filter='regressor')

for name, RegressorClass in tqdm(estimators):

    if name in ['MultiOutputRegressor', 'MultiOutputClassifier', 'StackingRegressor', 'StackingClassifier',
                    'VotingRegressor', 'VotingClassifier', 'TransformedTargetRegressor', 'RegressorChain',
                    'GradientBoostingRegressor', 'HistGradientBoostingRegressor', 'RandomForestRegressor',
                    'ExtraTreesRegressor', 'MLPRegressor']:

        continue

    try:
        
        print(f"name: {name}, class: {RegressorClass}")
    
    except Exception as e:
        print(f"Error: {e}")
        continue