0.3.0 - Loss & Callback Refactors

Config Updates

Due to large refactors of the loss functions and callbacks, it is highly advised you reset your configs.
anemoi-training config generate --override

In particular, the training and diagnostics configurations have greatly changed.

Added

• training_loss
• validation_metrics
• variable_loss_scaling

Removed

• loss_scaling

Changed

• callbacks

What's Changed

• Feature/improve loss functions by @HCookie in #70
• Refactor Callbacks by @HCookie in #60
• Bind max steps and lr iterations by @Rilwan-Adewoyin in #67
• feature: sub hour timesteping by @JesperDramsch in #63
• added config for bounding by @gabrieloks in #10
• fix: metric ranges in the validation space not the normalized space by @sahahner in #116
• fix: enable learningrate monitor automatically by @sahahner in #119
• Mlflow benchmark profiler update by @anaprietonem in #38
• Rename frequency to batch_frequency in RolloutEval by @HCookie in #118
• Add expansion of params to logger by @HCookie in #91
• Fix missing checkpoint callbacks by @HCookie in #125
• Change how mlflow measures CPU memory usage by @cathalobrien in #94
• Graph config for stretched grid graph by @havardhhaugen in #133
• Graph config for limited area models (LAMs) by @JPXKQX in #134
• Feature/update graph callbacks by @JPXKQX in #135
• fix: Rename loss_scaling to variable_loss_scaling by @HCookie in #138
• fix: Allow updates to scalars & other improvements by @HCookie in #137

New Contributors

• @Rilwan-Adewoyin made their first contribution in #67
• @gabrieloks made their first contribution in #10
• @cathalobrien made their first contribution in #94
• @havardhhaugen made their first contribution in #133

Full Changelog: 0.2.2...0.3.0