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updated changelog
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CHANGELOG.md

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## 0.2.24
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### Breaking Changes
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- removed InceptionTSiT, InceptionTSiTPlus, ConvTSiT & ConvTSiTPlus ([#276](https://github.com/timeseriesAI/tsai/issues/276))
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### New Features
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- add stateful custom sklearn API type tfms: TSShrinkDataFrame, TSOneHotEncoder, TSCategoricalEncoder ([#313](https://github.com/timeseriesAI/tsai/issues/313))
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- Pytorch 1.10 compatibility ([#311](https://github.com/timeseriesAI/tsai/issues/311))
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- ability to pad at the start/ end of sequences and filter results in SlidingWindow ([#307](https://github.com/timeseriesAI/tsai/issues/307))
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- added bias_init to TSiT ([#288](https://github.com/timeseriesAI/tsai/issues/288))
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- plot permutation feature importance after a model's been trained ([#286](https://github.com/timeseriesAI/tsai/issues/286))
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- added separable as an option to MultiConv1d ([#285](https://github.com/timeseriesAI/tsai/issues/285))
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- Modified TSiTPlus to accept a feature extractor and/or categorical variables ([#278](https://github.com/timeseriesAI/tsai/issues/278))
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### Bugs Squashed
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- learn modules takes too long to load ([#312](https://github.com/timeseriesAI/tsai/issues/312))
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- error in roll2d and roll3d when passing index 2 ([#304](https://github.com/timeseriesAI/tsai/issues/304))
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- TypeError: unhashable type: 'numpy.ndarray' ([#302](https://github.com/timeseriesAI/tsai/issues/302))
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- ValueError: only one element tensors can be converted to Python scalars ([#300](https://github.com/timeseriesAI/tsai/issues/300))
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- unhashable type: 'numpy.ndarray' when using multiclass multistep labels ([#298](https://github.com/timeseriesAI/tsai/issues/298))
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- incorrect data types in NumpyDatasets subset ([#297](https://github.com/timeseriesAI/tsai/issues/297))
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- create_future_mask creates a mask in the past ([#293](https://github.com/timeseriesAI/tsai/issues/293))
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- NameError: name 'X' is not defined in learner.feature_importance ([#291](https://github.com/timeseriesAI/tsai/issues/291))
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- TSiT test fails on cuda ([#287](https://github.com/timeseriesAI/tsai/issues/287))
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- MultiConv1d breaks when ni == nf ([#284](https://github.com/timeseriesAI/tsai/issues/284))
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- WeightedPerSampleLoss reported an error when used with LDS_weights ([#281](https://github.com/timeseriesAI/tsai/issues/281))
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- pos_encoding transfer weight in TSiT fails ([#280](https://github.com/timeseriesAI/tsai/issues/280))
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- MultiEmbedding cat_pos and cont_pos are not in state_dict() ([#277](https://github.com/timeseriesAI/tsai/issues/277))
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- fixed issue with MixedDataLoader ([#229](https://github.com/timeseriesAI/tsai/pull/229)), thanks to [@Wabinab](https://github.com/Wabinab)
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## 0.2.23
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### Breaking Changes
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