v0.3.7
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)