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2 | 2 |
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3 | 3 | <!-- do not remove -->
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4 | 4 |
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| 5 | +## 0.2.24 |
| 6 | +### Breaking Changes |
| 7 | + |
| 8 | +- removed InceptionTSiT, InceptionTSiTPlus, ConvTSiT & ConvTSiTPlus ([#276](https://github.com/timeseriesAI/tsai/issues/276)) |
| 9 | + |
| 10 | +### New Features |
| 11 | + |
| 12 | +- add stateful custom sklearn API type tfms: TSShrinkDataFrame, TSOneHotEncoder, TSCategoricalEncoder ([#313](https://github.com/timeseriesAI/tsai/issues/313)) |
| 13 | + |
| 14 | +- Pytorch 1.10 compatibility ([#311](https://github.com/timeseriesAI/tsai/issues/311)) |
| 15 | + |
| 16 | +- ability to pad at the start/ end of sequences and filter results in SlidingWindow ([#307](https://github.com/timeseriesAI/tsai/issues/307)) |
| 17 | + |
| 18 | +- added bias_init to TSiT ([#288](https://github.com/timeseriesAI/tsai/issues/288)) |
| 19 | + |
| 20 | +- plot permutation feature importance after a model's been trained ([#286](https://github.com/timeseriesAI/tsai/issues/286)) |
| 21 | + |
| 22 | +- added separable as an option to MultiConv1d ([#285](https://github.com/timeseriesAI/tsai/issues/285)) |
| 23 | + |
| 24 | +- Modified TSiTPlus to accept a feature extractor and/or categorical variables ([#278](https://github.com/timeseriesAI/tsai/issues/278)) |
| 25 | + |
| 26 | +### Bugs Squashed |
| 27 | + |
| 28 | +- learn modules takes too long to load ([#312](https://github.com/timeseriesAI/tsai/issues/312)) |
| 29 | + |
| 30 | +- error in roll2d and roll3d when passing index 2 ([#304](https://github.com/timeseriesAI/tsai/issues/304)) |
| 31 | + |
| 32 | +- TypeError: unhashable type: 'numpy.ndarray' ([#302](https://github.com/timeseriesAI/tsai/issues/302)) |
| 33 | + |
| 34 | +- ValueError: only one element tensors can be converted to Python scalars ([#300](https://github.com/timeseriesAI/tsai/issues/300)) |
| 35 | + |
| 36 | +- unhashable type: 'numpy.ndarray' when using multiclass multistep labels ([#298](https://github.com/timeseriesAI/tsai/issues/298)) |
| 37 | + |
| 38 | +- incorrect data types in NumpyDatasets subset ([#297](https://github.com/timeseriesAI/tsai/issues/297)) |
| 39 | + |
| 40 | +- create_future_mask creates a mask in the past ([#293](https://github.com/timeseriesAI/tsai/issues/293)) |
| 41 | + |
| 42 | +- NameError: name 'X' is not defined in learner.feature_importance ([#291](https://github.com/timeseriesAI/tsai/issues/291)) |
| 43 | + |
| 44 | +- TSiT test fails on cuda ([#287](https://github.com/timeseriesAI/tsai/issues/287)) |
| 45 | + |
| 46 | +- MultiConv1d breaks when ni == nf ([#284](https://github.com/timeseriesAI/tsai/issues/284)) |
| 47 | + |
| 48 | +- WeightedPerSampleLoss reported an error when used with LDS_weights ([#281](https://github.com/timeseriesAI/tsai/issues/281)) |
| 49 | + |
| 50 | +- pos_encoding transfer weight in TSiT fails ([#280](https://github.com/timeseriesAI/tsai/issues/280)) |
| 51 | + |
| 52 | +- MultiEmbedding cat_pos and cont_pos are not in state_dict() ([#277](https://github.com/timeseriesAI/tsai/issues/277)) |
| 53 | + |
| 54 | +- fixed issue with MixedDataLoader ([#229](https://github.com/timeseriesAI/tsai/pull/229)), thanks to [@Wabinab](https://github.com/Wabinab) |
| 55 | + |
| 56 | + |
| 57 | + |
5 | 58 | ## 0.2.23
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6 | 59 | ### Breaking Changes
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7 | 60 |
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