New Features

• added functionality to support inputs with static/ observed (time-dependent) features

• added functionality to support inputs with categorical/ continuous features

• added functionality to apply patches to time series models

• Added MultiRocket/ MultiRocketPlus architectures

• added TSSelfDropout (#790)

• added get_feat_idxs to calculate multimodal indices (#789)

• remaining features assigned to o_cont_idxs by default (#788)

• added patch encoder to MultiInputWrapper (#787)

• added TSTargetEncoder transform (#769)

• added TSRobustScaler to tfm pipelines (#763)

• added new tfms - TSDropIfTrueCols and ApplyFunc (#760)

• tensor slices in different devices when using TensorSplitter (#799)

Bugs Squashed

• mixed augmentations (MixUp1d, CutMix1d,..) are not updating labels (#791)

• get_UCR_data function fails due to changed download link (#785)

• error when using TSSelectColumns due to pandas df slicing (#762)

• short arrays create issues when running get_usable_idxs (#761)

• get_X_pred creates different probablities when using numpy array or torch tensor (#754)

• partial_n is applied to all datasets by default (#748)

• get_best_dls_params function still prints output when the verbose parameter is set to false (#737)

• using xresnet for vision classification raises an error (#728)