Related Issues (20)
- [tabular] Parallel Model Training HOT 1
- [tabular] Add log-scaling to regression for appropriate metrics
- [TimeSeries][TFT] Add parameter to limit number of CPUs (or GPUs)
- Instance Segmentation
- How does TabularPredictor handle new categorical values in test data? HOT 1
- hyperparameters sum len() Error
- Document How To Load a Specific Model in the Tabular FAQ
- [multimodal] Better support for multimodal multi-label regression
- Error occur while using kaggle notebook HOT 2
- [BUG] ValueError: Not enough time left to train models for the full fit in TabularPredictor.fit HOT 1
- [timeseries] Does DirectTabular predict recursively? HOT 1
- Document Layout Understanding
- Not able to import Image classification packages
- Autogluon 0.7.0 vs Autogluon 1.1.0 performance degradation on simple regression task HOT 1
- [BUG] TimeSeriesDataFrame.train_test_split produces incorrect split when unsorted in time HOT 2
- Feature pruning ending very early
- [BUG] TabularPredictor fails during calibration for problem_type="quantile" if fit_weighted_ensemble=False
- [tabular] Ensure all AbstractModel classes returns same type for predict and predict_proba
- Release on Conda Forge [1.1.1]
- [BUG]During the training process with AutoGluon, if some parameter contributions are greater than 1, this usually indicates what?
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