X has feature names, but StandardScaler was fitted without feature names

[dsimop]

As mentioned in the title, after trying to make new predictions, I get the "X has feature names, but StandardScaler was fitted without feature names" warning. Therefore, no predictions can be returned. It seems the same problem was mentioned here. The model training was executed successfully, but the model could not be used for new predictions. I executed the following simple script for the predictions:

df = pd.read_csv('myDataset.csv')
automl = AutoML(results_path='AutoML_1')
automl.predict_all(df.iloc[:, :-1])

P.S.: In the logs, I also got:
_catboost.CatBoostError: /Users/zomb-ml-platform-msk/go-agent-21.2.0/pipelines/BuildMaster/catboost.git/catboost/libs/data/model_dataset_compatibility.cpp:81: At position 35 should be feature with name Ensemble_prediction_0_for_Label0_1_for_Label1 (found Ensemble_prediction).

[MLJar-Supervised 1.1.7, scikit-learn 1.4.2]