Comments (1)
Resolved in the current version
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Related Issues (20)
- [AutoMM] Configurable ray chekpoints in HPO
- [BUG] Problem with hyperparam DEPTH when trying to run HPO on CatBoost via AutoGluon HOT 1
- [BUG] RF does not throw exception for `predict_proba_oof` when groups are specified HOT 1
- Apply fit_transform() to each of the training folds, and transform to each of the validation folds in TabularPredictor HOT 3
- [tabular] Set `calibrate_decision_threshold="auto"` to get better results on prediction metrics
- [TimeSeries] TimeSeriesPredictor has no attribute feature_importance HOT 1
- [BUG] AutoGluon models contain platform-specific paths, preventing use of trained models across platforms HOT 1
- Multi-Window for TimeSeriesPredictor.feature_importance
- Object detection support for Torch 2.2 HOT 1
- KeyError: 'Theta'
- Make `timm` an optional dependency HOT 1
- [multimodal] Check if tensorrt works in Python 3.11
- [BUG] Multimodal quick start: Lightning can't create new processes if CUDA is already initialized. HOT 1
- [BUG] TimeSeriesPredictor always predicts with a constant value level gap
- [BUG] TimeSeriesPredictor loading from different path than originally saved in fails for tabular predictors
- Model Chronos is not supported yet. HOT 2
- [BUG] deep learning model unable to train in Colab, torchaudio/lib/libtorchaudio.so: undefined symbol HOT 3
- [CI] Add dependency version age tracker HOT 1
- [BUG] TimeSeriesDataFrame cannot convert frequency to business hours HOT 1
- [BUG] AutoGluon ignores logging configuration HOT 3
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