timeseriesAI/tsai: v0.2.24

Release notes <!-- do not remove --> 0.2.24 Breaking Changes

• removed InceptionTSiT, InceptionTSiTPlus, ConvTSiT & ConvTSiTPlus (#276)

• 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)

• 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 @Wabinab