Error: Algorithm should either be a classifier to be used with response_method=predict_proba or the response_method should be 'predict' #638
Description
Hi!
Recently I started getting this error (or warning?) with binary classification.
Minimal code to reproduce the problem:
from supervised import AutoML
if __name__ == '__main__':
from sklearn.datasets import make_classification
X, y = make_classification(n_samples=100000, n_features=20, n_redundant=2)
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split( X, y, test_size=0.3)
automl = AutoML(eval_metric="accuracy")
automl.fit(X_train, y_train)
automl.report()
I get multiple messages:
DecisionTreeAlgorithm should either be a classifier to be used with response_method=predict_proba or the response_method should be 'predict'. Got a regressor with response_method=predict_proba instead.
Problem during computing permutation importance. Skipping ...
Is it a new bug or we can just ignore it?
Thank you!