- update for fastcore 1.0.5 (#2775)
-
"Remove pandas min version requirement" (#2765)
-
Modify XResNet to support Conv1d / Conv3d (#2744)
- Also support different input dimensions, kernel sizes and stride (added parameters ndim, ks, stride).
-
Add support for multidimensional arrays for RNNDropout (#2737)
-
MCDropoutCallback to enable Monte Carlo Dropout in fastai. (#2733)
- A new callback to enable Monte Carlo Dropout in fastai in the
get_predsmethod. 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.
- A new callback to enable Monte Carlo Dropout in fastai in the
-
adjustable workers in
get_preds(#2721)
- Initial release of v2