Related Issues (20)
- Google colab - Feature selection not working HOT 7
- Fix issues from AutoML benchmark
- X has feature names, but StandardScaler was fitted without feature names
- 'module' object is not callable HOT 3
- Feature names unseen at fit time HOT 5
- Error after resume training from previous non finished training
- Creating a Simple enough UI that a person from Non-tech background could understand. HOT 3
- cant do plots when supervised imported
- Lightgbm train with custom eval metric error
- Optuna Mode fails. Optuna has migrated to optuna-integration. HOT 3
- Get direction of feature weights for binary classification HOT 2
- As of scikit-learn version 1.5.0, TfidfVectorizer does not have the 'stop_words' attribute
- getting TypeError: only integer scalar arrays can be converted to a scalar index on HOT 2
- Error while running CV Split by Validation startegy -supervised.exceptions ERROR You need to specify `cv` as list or iterable
- error in docker installation
- error during fit and predict
- stacking + kmeans features produces error
- Warning during fit HOT 2
- Warning during prediction, related to (#742)
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