Related Issues (20)
- [tabular] Add tutorial + API pages for callbacks
- [tabular] Add target encoding preprocessing option
- [timeseries] Allow choosing custom cutoff in `evaluate` and `leaderboard`
- Time Series Predictor: Changing the random seed does not change results for all models
- [BUG] Time series tabular model always uses fallback method (SeasonalNaive) for time series of length 1 HOT 1
- [BUG] I run the hyper parameter optimization with these methods, so I always get this error HOT 2
- Adding F2 to evaluation metrics
- [BUG] TimeSeriesPredictor fails to train any models if timestamps are irregular/duplicated for item_ids above 100
- [BUG] HF Text Models in MultiModalPredictor: torch.clamp Issue on MacBook Silicon MPS
- [BUG] Issues with FastAI and PyTorch when using best_quality preset + HPO params HOT 2
- TabularPredictor and the default value of log_to_file HOT 1
- What does "gluon" mean? HOT 1
- [tabular] Add support for sample weight in `.refit_full(..., train_data_extra=...)`
- [BUG] ValueError: Input X contains infinity or a value too large for dtype('float32')
- conv-lora detection head
- How to obtain fitted values with TimeSeriesPredictor? HOT 1
- Feature Selection in Tabular predictor failed when the number of trianing data is larger than the ''n_train_subsample' setting HOT 9
- [BUG] Unable to reproduce results on different UNIX machines with TimeSeriesPredictor (TFT and PatchTST)
- [BUG] `CrostonOptimize` and `CrostonClassic` are not supported
- AutoML for graphs
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