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Release 0.2 #89
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Release 0.2 #89
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Encompasses MSE loss and grad_scaler. Co-authored-by: Jesper Dramsch <jesper.dramsch@ecmwf.int> Co-authored-by: Simon Lang <simon.lang@ecmwf.int> Co-authored-by: Matthew Chantry <matthew.chantry@ecmwf.int> Co-authored-by: mihai.alexe <mihai.alexe@ecmwf.int>
Provides a set of tools for monitoring and evaluating the performance of machine learning models. The module includes a set of classes and functions for logging, profiling, and visualizing model performance. Co-authored-by: Jesper Dramsch <jesper.dramsch@ecmwf.int> Co-authored-by: Matthew Chantry <matthew.chantry@ecmwf.int> Co-authored-by: Simon Lang <simon.lang@ecmwf.int> Co-authored-by: Mihai Alexe <mihai.alexe@ecmwf.int> Co-authored-by: Sara Hahner <sara.hahner@ecmwf.int> Co-authored-by: Ana Prieto Nemesio <ana.prietonemesio@ecmwf.int>
Allows Distributed Data Parallel and Distributed Model Parallel training Co-authored-by: Jesper Dramsch <jesper.dramsch@ecmwf.int> Co-authored-by: Simon Lang <simon.lang@ecmwf.int> Co-authored-by: Matthew Chantry <matthew.chantry@ecmwf.int> Co-authored-by: Mihai Alexe <mihai.alexe@ecmwf.int>
Co-authored-by: Jesper Dramsch <jesper.dramsch@ecmwf.int> Co-authored-by: Matthew Chantry <matthew.chantry@ecmwf.int> Co-authored-by: Simon Lang <simon.lang@ecmwf.int> Co-authored-by: Mihai Alexe <mihai.alexe@ecmwf.int> Co-authored-by: Ana Prieto Nemesio <ana.prietonemesio@ecmwf.int> Co-authored-by: Mario Santa Cruz <mario.santacruz@ecmwf.int>
Co-authored-by: Jesper Dramsch <<jesper.dramsch@ecmwf.int>
…esteps 40 support dataset with missing timesteps
Expanded intro docs and examples
* fix: change pre-cmmit autoupdate schedule to monthly * fix: change the merge strategy for Changelog to Union * fix: add .envrc to .gitignore * ci: exclude pre-commit and readthedocs yaml from changelog ci * ci: fix downstream-ci-hpc workflow call * chore: update pre-commit * chore: move gitignore * fix: hypothesis dependency * feat: add codeowners * ci: add hpc-config * chore: add python 3.10 * docs: update changelog --------- Co-authored-by: Jesper Dramsch <jesper.dramsch@ecmwf.int>
* feature: long rollout plots * incorporate review from lorenzo, correction for ocean variables to not consider them as pressure level variables and small fix for grouping of less than 15 variables in loss contribution histogram * backward compatibility for config files without longrolloutplot configuration Reviewers: @lzampier , @theissenhelen , @JesperDramsch
* fix: modify sysargv with subcommands * docs: add changelog
* fix version pinning * chore: run pre-commit. * fix version --------- Co-authored-by: Florian Prill <63-m300196@users.noreply.gitlab.dkrz.de>
* fix: remove staticmethod from `TokenAuth.enabled` * chore: changelog
* feat: authentication support for mlflow sync * chore: formatting * chore: changelog * chore: changelog add link * fix: sync authentication flag * refactor: move `health_check` to submodule top level * feat: add health check * chore: update error msg * refactor: mlflow utils
* fix: mlflow auth use web seed token * feat: make target env var an optional argument * chore: docstrings * fix: tests * chore: add comment * chore: changelog * chore: docstring
add link to transform
…tion Allow for longer truncation when mlflow > 1.28
Update CODEOWNERS
Fix interactive multi-GPU training
* feat: anemoi mlflow client with authentication * fix: recursion on anemoi_auth * chore: add tests * chore: changelog
* [pre-commit.ci] pre-commit autoupdate updates: - [github.com/pre-commit/pre-commit-hooks: v4.6.0 → v5.0.0](pre-commit/pre-commit-hooks@v4.6.0...v5.0.0) - [github.com/astral-sh/ruff-pre-commit: v0.6.4 → v0.6.9](astral-sh/ruff-pre-commit@v0.6.4...v0.6.9) - [github.com/tox-dev/pyproject-fmt: 2.2.3 → 2.2.4](tox-dev/pyproject-fmt@2.2.3...2.2.4) - [github.com/jshwi/docsig: v0.60.1 → v0.64.0](jshwi/docsig@v0.60.1...v0.64.0) * fix: pre-commit stages --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Gert Mertes <gert.mertes@ecmwf.int>
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Merge develop to main and release 0.2
Waiting for these PRs, necessary to facilitate the transition to the new mlflow server:
AnemoiMlflowClient
with auth support #86Optional but nice to include:
This one will go in the next release: