timeseriesAI/tsai: v0.3.2

Breaking Changes replaced TSOneHot preprocessor by TSOneHotEncode using a different API (#502) replaced MultiEmbedding n_embeds, embed_dims and padding_idxs by n_cat_embeds, cat_embed_dims and cat_padding_idxs (#497) New Features added GaussianNoise transform (#514) added TSSequencer model based on Sequencer: Deep LSTM for Image Classification paper (#508) added TSPosition to be able to pass any steps list that will be concatenated to the input (#504) added TSPosition preprocessor to allow the concatenation of a custom position sequence (#503) added TSOneHot class to encode a variable on the fly (#501) added token_size and tokenizer arguments to tsai (#496) SmeLU activation function not found (#495) added example on how to perform inference, partial fit and fine tuning (#491) added get_time_per_batch and get_dl_percent_per_epoch (#489) added TSDropVars used to removed batch variables no longer needed (#488) added SmeLU activation function (#458) Feature request: gMLP and GatedTabTransformer. (#354) Pay Attention to MLPs - gMLP (paper, implementation) The GatedTabTransformer (paper, implementation); Bugs Squashed after_batch tfms set to empty Pipeline when using dl.new() (#516) 00b_How_to_use_numpy_arrays_in_fastai: AttributeError: attribute 'device' of 'torch._C._TensorBase' objects is not writable (#500) getting regression data returns _check_X() argument error (#430) I wonder why only 'Nor' is displayed in dls.show_batch(sharvey=True). (#416