Fastai

Bugs Squashed

- Fix `cont_cat_split` for multi-label classification ([2759](https://github.com/fastai/fastai/issues/2759))
- fastbook error: "index 3 is out of bounds for dimension 0 with size 3" ([2792](https://github.com/fastai/fastai/issues/2792))

New Features

- update for fastcore 1.0.5 ([2775](https://github.com/fastai/fastai/issues/2775))

New Features

- "Remove pandas min version requirement" ([2765](https://github.com/fastai/fastai/issues/2765))
- Modify XResNet to support Conv1d / Conv3d ([2744](https://github.com/fastai/fastai/issues/2744))
- Also support different input dimensions, kernel sizes and stride (added parameters ndim, ks, stride).
- Add support for multidimensional arrays for RNNDropout ([2737](https://github.com/fastai/fastai/issues/2737))
- MCDropoutCallback to enable Monte Carlo Dropout in fastai. ([2733](https://github.com/fastai/fastai/issues/2733))
- A new callback to enable Monte Carlo Dropout in fastai in the `get_preds` method.
Monte Carlo Dropout is simply enabling dropout during inference.
Calling get_preds multiple times and stacking them yield of a distribution of predictions that you can use to evaluate your prediction uncertainty.
- adjustable workers in `get_preds` ([2721](https://github.com/fastai/fastai/issues/2721))

- Initial release of v2

Bugs Squashed

- Revert "Python 3.12 Deprecation of pkg_resources" ([544](https://github.com/fastai/fastcore/pull/544))

New Features

- allow docments to parse async function definitions
- expose timeout in `urlsend`

Bugs Squashed

- patch classmethod not supporting subclasses correctly