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[Feature] Add training strategies based on learning Tendencies #26
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Rilwan-Adewoyin
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[Feature] Tendency based optimization
[Feature] Add training strategies based on Tendency learning
Sep 4, 2024
Rilwan-Adewoyin
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[Feature] Add training strategies based on Tendency learning
[Feature] Add training strategies based on learning Tendencies
Sep 4, 2024
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…earning state Co-authored-by: Jakob Schloer <[email protected]>
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Co-authored-by: Jakob Schloer <[email protected]>
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Co-authored-by: Jakob Schloer <[email protected]>
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Co-authored-by: Jakob Schloer <[email protected]>
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Co-authored-by: Jakob Schloer <[email protected]>
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* feat: add configurability to dropout in MultiHeadSelfAttention Co-authored-by: Rilwan (Akanni) Adewoyin <[email protected]> * test: adjust to dropout_p * doc: update changelog * Feature/integrate reusable workflows (#16) * ci: add public pr label * ci: add readthedocs update check * ci: add downstream ci * ci: add ci-config * chore(deps): remove unused dependency * docs: update changelog * ci: switch to main * chore: changelog 0.2.1 * Update error messages from invalid sub_graph in model instantiation (#20) * ci: inherit pypi publish flow (#17) * ci: inherit pypi publish flow Co-authored-by: Helen Theissen <[email protected]> * docs: add to changelog * fix: typo in reusable workflow * fix: another typo * chore: bump actions/setup-python to v5 * ci: run downstream-ci for changes in src and tests * docs: update changelog --------- Co-authored-by: Helen Theissen <[email protected]> * Update CHANGELOG.md to KeepChangelog format * [pre-commit.ci] pre-commit autoupdate (#25) updates: - [github.com/psf/black-pre-commit-mirror: 24.4.2 → 24.8.0](psf/black-pre-commit-mirror@24.4.2...24.8.0) - [github.com/astral-sh/ruff-pre-commit: v0.4.6 → v0.6.2](astral-sh/ruff-pre-commit@v0.4.6...v0.6.2) - [github.com/tox-dev/pyproject-fmt: 2.1.3 → 2.2.1](tox-dev/pyproject-fmt@2.1.3...2.2.1) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Ci/changelog-release-updater (#26) * ci: add changelof release updater * docs: update changelog * Feature/integrate reusable workflows (#16) * ci: add public pr label * ci: add readthedocs update check * ci: add downstream ci * ci: add ci-config * chore(deps): remove unused dependency * docs: update changelog * ci: switch to main * chore: changelog 0.2.1 * Update error messages from invalid sub_graph in model instantiation (#20) * ci: inherit pypi publish flow (#17) * ci: inherit pypi publish flow Co-authored-by: Helen Theissen <[email protected]> * docs: add to changelog * fix: typo in reusable workflow * fix: another typo * chore: bump actions/setup-python to v5 * ci: run downstream-ci for changes in src and tests * docs: update changelog --------- Co-authored-by: Helen Theissen <[email protected]> * Update CHANGELOG.md to KeepChangelog format * Ci/changelog-release-updater (#26) * ci: add changelof release updater * docs: update changelog --------- Co-authored-by: Rilwan (Akanni) Adewoyin <[email protected]> Co-authored-by: Gert Mertes <[email protected]> Co-authored-by: Mario Santa Cruz <[email protected]> Co-authored-by: Jesper Dramsch <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
theissenhelen
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* feat: add configurability to dropout in MultiHeadSelfAttention Co-authored-by: Rilwan (Akanni) Adewoyin <[email protected]> * test: adjust to dropout_p * doc: update changelog * Feature/integrate reusable workflows (#16) * ci: add public pr label * ci: add readthedocs update check * ci: add downstream ci * ci: add ci-config * chore(deps): remove unused dependency * docs: update changelog * ci: switch to main * chore: changelog 0.2.1 * Update error messages from invalid sub_graph in model instantiation (#20) * ci: inherit pypi publish flow (#17) * ci: inherit pypi publish flow Co-authored-by: Helen Theissen <[email protected]> * docs: add to changelog * fix: typo in reusable workflow * fix: another typo * chore: bump actions/setup-python to v5 * ci: run downstream-ci for changes in src and tests * docs: update changelog --------- Co-authored-by: Helen Theissen <[email protected]> * Update CHANGELOG.md to KeepChangelog format * [pre-commit.ci] pre-commit autoupdate (#25) updates: - [github.com/psf/black-pre-commit-mirror: 24.4.2 → 24.8.0](psf/black-pre-commit-mirror@24.4.2...24.8.0) - [github.com/astral-sh/ruff-pre-commit: v0.4.6 → v0.6.2](astral-sh/ruff-pre-commit@v0.4.6...v0.6.2) - [github.com/tox-dev/pyproject-fmt: 2.1.3 → 2.2.1](tox-dev/pyproject-fmt@2.1.3...2.2.1) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Ci/changelog-release-updater (#26) * ci: add changelof release updater * docs: update changelog * Feature/integrate reusable workflows (#16) * ci: add public pr label * ci: add readthedocs update check * ci: add downstream ci * ci: add ci-config * chore(deps): remove unused dependency * docs: update changelog * ci: switch to main * chore: changelog 0.2.1 * Update error messages from invalid sub_graph in model instantiation (#20) * ci: inherit pypi publish flow (#17) * ci: inherit pypi publish flow Co-authored-by: Helen Theissen <[email protected]> * docs: add to changelog * fix: typo in reusable workflow * fix: another typo * chore: bump actions/setup-python to v5 * ci: run downstream-ci for changes in src and tests * docs: update changelog --------- Co-authored-by: Helen Theissen <[email protected]> * Update CHANGELOG.md to KeepChangelog format * Ci/changelog-release-updater (#26) * ci: add changelof release updater * docs: update changelog --------- Co-authored-by: Rilwan (Akanni) Adewoyin <[email protected]> Co-authored-by: Gert Mertes <[email protected]> Co-authored-by: Mario Santa Cruz <[email protected]> Co-authored-by: Jesper Dramsch <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Is your feature request related to a problem? Please describe.
@Rilwan-Adewoyin > Allow optional training with optimisation towards tendency as opposed to state/residual
@jakob-schloer > While the deterministic AIFS is currently trained on the weighted mean square error of absolute values, GraphCast is trained to predict the normalized tendency. This might be beneficial for variables changing on different timescales.
Describe the solution you'd like
Instead of predicting x(t+1) directly, the model should predict the normalized tendency y(t) = x(t+1) - x(t).
Describe alternatives you've considered
NA
Additional context
Has been shown to improve results with a diffusion model targeting atmosphere - this will be useful for investigating whether or not improvements extend to other models and other domains such as ocean and wave.
Dependent on a issue/branch on anemoi-models repository: #39
@jakob-schloer
@da-ewanp
@ssmmnn11
Organisation
ECMWF
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