timeseriesAI/tsai: v0.2.24

Release notes 0.2.24 Breaking Changes removed InceptionTSiT, InceptionTSiTPlus, ConvTSiT & ConvTSiTPlus (#276) New Features add stateful custom sklearn API type tfms: TSShrinkDataFrame, TSOneHotEncoder, TSCategoricalEncoder (#313) Pytorch 1.10 compatibility (#311) ability to pad at the start/ end of sequences and filter results in SlidingWindow (#307) added bias_init to TSiT (#288) plot permutation feature importance after a model's been trained (#286) added separable as an option to MultiConv1d (#285) Modified TSiTPlus to accept a feature extractor and/or categorical variables (#278) Bugs Squashed learn modules takes too long to load (#312) error in roll2d and roll3d when passing index 2 (#304) TypeError: unhashable type: 'numpy.ndarray' (#302) ValueError: only one element tensors can be converted to Python scalars (#300) unhashable type: 'numpy.ndarray' when using multiclass multistep labels (#298) incorrect data types in NumpyDatasets subset (#297) create_future_mask creates a mask in the past (#293) NameError: name 'X' is not defined in learner.feature_importance (#291) TSiT test fails on cuda (#287) MultiConv1d breaks when ni == nf (#284) WeightedPerSampleLoss reported an error when used with LDS_weights (#281) pos_encoding transfer weight in TSiT fails (#280) MultiEmbedding cat_pos and cont_pos are not in state_dict() (#277) fixed issue with MixedDataLoader (#229), thanks to @Wabina