Related Issues (20)
- trained error HOT 3
- problem run in colab HOT 2
- UserWarning: The y_pred values do not sum to one. Starting from 1.5 thiswill result in an error.
- report() not working in JupyterLab HOT 1
- Functionality to retrain or continue training models using the library.
- problem with automl._best_model() HOT 1
- Please document all preprocessing methods HOT 4
- Links to models are not working in report
- view individual CV metrics or CV metric AUC mean and standard deviations HOT 2
- 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
- AutoML report apply CSS globally
- Lightgbm train with custom eval metric error
- Optuna Mode fails. Optuna has migrated to optuna-integration. HOT 3
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