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updated changelog
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“oguiza” committed Feb 6, 2022
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## 0.2.25
### Breaking Changes

- updated forward_gaps removing nan_to_num ([#331](https://github.com/timeseriesAI/tsai/issues/331))

- TSRobustScaler only applied by_var ([#329](https://github.com/timeseriesAI/tsai/issues/329))

- remove add_na arg from TSCategorize ([#327](https://github.com/timeseriesAI/tsai/issues/327))

### New Features

- added IntraClassCutMix1d ([#384](https://github.com/timeseriesAI/tsai/issues/384))

- added learn.calibrate_model method ([#379](https://github.com/timeseriesAI/tsai/issues/379))

- added analyze_array function ([#378](https://github.com/timeseriesAI/tsai/issues/378))

- Added TSAddNan transform ([#376](https://github.com/timeseriesAI/tsai/issues/376))

- added dummify function to create dummy data from original data ([#366](https://github.com/timeseriesAI/tsai/issues/366))

- added Locality Self Attention to TSiT ([#363](https://github.com/timeseriesAI/tsai/issues/363))

- added sel_vars argument to MVP callback ([#349](https://github.com/timeseriesAI/tsai/issues/349))

- added sel_vars argument to TSNan2Value ([#348](https://github.com/timeseriesAI/tsai/issues/348))

- added multiclass, weighted FocalLoss ([#346](https://github.com/timeseriesAI/tsai/issues/346))

- added TSRollingMean batch transform ([#343](https://github.com/timeseriesAI/tsai/issues/343))

- added recall_at_specificity metric ([#342](https://github.com/timeseriesAI/tsai/issues/342))

- added train_metrics argument to ts_learner ([#341](https://github.com/timeseriesAI/tsai/issues/341))

- added hist to PredictionDynamics for binary classification ([#339](https://github.com/timeseriesAI/tsai/issues/339))

- add padding_idxs to MultiEmbedding ([#330](https://github.com/timeseriesAI/tsai/issues/330))

### Bugs Squashed

- sort_by data may be duplicated in SlidingWindowPanel ([#389](https://github.com/timeseriesAI/tsai/issues/389))

- create_script splits the nb name if multiple underscores are used ([#385](https://github.com/timeseriesAI/tsai/issues/385))

- added torch functional dependency to plot_calibration_curve ([#383](https://github.com/timeseriesAI/tsai/issues/383))

- issue when setting horizon to 0 in SlidingWindow ([#382](https://github.com/timeseriesAI/tsai/issues/382))

- replace learn by self in calibrate_model patch ([#381](https://github.com/timeseriesAI/tsai/issues/381))

- Argument `d_head` is not used in TSiTPlus ([#380](https://github.com/timeseriesAI/tsai/issues/380))
- https://github.com/timeseriesAI/tsai/blob/6baf0ba2455895b57b54bf06744633b81cdcb2b3/tsai/models/TSiTPlus.py#L63

- replace default relu activation by gelu in TSiT ([#361](https://github.com/timeseriesAI/tsai/issues/361))

- sel_vars and sel_steps in TSDatasets and TSDalaloaders don't work when used simultaneously ([#347](https://github.com/timeseriesAI/tsai/issues/347))

- ShowGraph fails when recoder.train_metrics=True ([#340](https://github.com/timeseriesAI/tsai/issues/340))

- fixed 'se' always equal to 16 in MLSTM_FCN ([#337](https://github.com/timeseriesAI/tsai/issues/337))

- ShowGraph doesn't work well when train_metrics=True ([#336](https://github.com/timeseriesAI/tsai/issues/336))

- TSPositionGaps doesn't work on cuda ([#333](https://github.com/timeseriesAI/tsai/issues/333))

- XResNet object has no attribute 'backbone' ([#332](https://github.com/timeseriesAI/tsai/issues/332))

- import InceptionTimePlus in tsai.learner ([#328](https://github.com/timeseriesAI/tsai/issues/328))

- df2Xy: Format correctly without the need to specify sort_by ([#324](https://github.com/timeseriesAI/tsai/issues/324))

- bug in MVP code learn.model --> self.learn.model ([#323](https://github.com/timeseriesAI/tsai/issues/323))

- Colab install issues: importing the lib takes forever ([#315](https://github.com/timeseriesAI/tsai/issues/315))

- Calling learner.feature_importance on larger than memory dataset causes OOM ([#310](https://github.com/timeseriesAI/tsai/issues/310))


## 0.2.24
### Breaking Changes

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