timeseriesAI/tsai: v0.3.6

New Features added optional activation to get_X_preds (#715) added external vocab option to dls (#705) allow classification outputs with n dimensions (#704) added get_sweep_config to wandb module (#687) added functionality to run pipeline sweeps (#686) added seed to learners to make training reproducible (#685) added functionality to filter df for required forecasting dates (#679) added option to train model on train only (#671) Bugs Squashed access all available dataloaders in dls (#724) make all models ending in Plus work with ndim classification targets (#719) make all models ending in Plus work with ndim work with ndim regression/ forecasting targets (#718) added MiniRocket to get_arch (#717) fixed issue with get_arch missing new models (#709) valid_metrics causes an error when using TSLearners (#708) valid_metrics are not shown when an array is passed within splits (#707) TSDatasets w/o tfms and inplace=False creates new X (#695) Prediction and True Values Swapped in plot_forecast (utils.py) (#690) MiniRocket incompatible with latest scikit-learn version (#677) Df2xy causing incorrect splits (#666) Feature Importance & Step Importance Not working (#647) multi-horizon forecasting (#591) Issues saving models with TSMetaDataset Dataloader (#317