diff --git a/CHANGELOG.md b/CHANGELOG.md index 66f6f90538..4bf257e993 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -31,6 +31,7 @@ but cannot always guarantee backwards compatibility. Changes that may **break co - fixed failing docker deployment - removed `gradle` dependency in favor of native GitHub action plugins. - Updated ruff to v0.7.2 and target-version to python39, also fixed various typos [#2589](https://github.com/unit8co/darts/pull/2589) by [Greg DeVosNouri](https://github.com/gdevos010) and [Antoine Madrona](https://github.com/madtoinou). +- Replaced the deprecated `torch.nn.utils.weight_norm` function with `torch.nn.utils.parametrizations.weight_norm` [#2593](https://github.com/unit8co/darts/pull/2593) by [Saeed Foroutan](https://github.com/SaeedForoutan). ## [0.31.0](https://github.com/unit8co/darts/tree/0.31.0) (2024-10-13) @@ -40,7 +41,7 @@ but cannot always guarantee backwards compatibility. Changes that may **break co - Improvements to `metrics`: - Added support for computing metrics on one or multiple quantiles `q`, either from probabilistic or quantile forecasts. [#2530](https://github.com/unit8co/darts/pull/2530) by [Dennis Bader](https://github.com/dennisbader). - - Added quantile interval metrics `miw` (Mean Interval Width, time aggregated) and `iw` (Interval Width, per time step / non-aggregated) which compute the width of quantile intervals `q_intervals` (expected to be a tuple or sequence of tuples with (lower quantile, upper quantile). [#2530](https://github.com/unit8co/darts/pull/2530) by [Dennis Bader](https://github.com/dennisbader). + - Added quantile interval metrics `miw` (Mean Interval Width, time aggregated) and `iw` (Interval Width, per time step / non-aggregated) which compute the width of quantile intervals `q_intervals` (expected to be a tuple or sequence of tuples with (lower quantile, upper quantile)). [#2530](https://github.com/unit8co/darts/pull/2530) by [Dennis Bader](https://github.com/dennisbader). - Improvements to `backtest()` and `residuals()`: - Added support for computing backtest and residuals on one or multiple quantiles `q` in the `metric_kwargs`, either from probabilistic or quantile forecasts. [#2530](https://github.com/unit8co/darts/pull/2530) by [Dennis Bader](https://github.com/dennisbader). - Added support for parameters `enable_optimization` and `predict_likelihood_parameters`. [#2530](https://github.com/unit8co/darts/pull/2530) by [Dennis Bader](https://github.com/dennisbader).