build(deps-dev): bump torchmetrics from 1.4.2 to 1.4.3 in /runtimes/mlflow #1923
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Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 1.4.2 to 1.4.3. - [Release notes](https://github.com/Lightning-AI/torchmetrics/releases) - [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md) - [Commits](Lightning-AI/torchmetrics@v1.4.2...v1.4.3) --- updated-dependencies: - dependency-name: torchmetrics dependency-type: direct:development update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <[email protected]>
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Bumps torchmetrics from 1.4.2 to 1.4.3.
Release notes
Sourced from torchmetrics's releases.
Changelog
Sourced from torchmetrics's changelog.
Commits
37b759ereleasing1.4.3f48b30cIntegration test for minmax, collection, lightning (#2772)5e64623Ignore theNoUtterancesErrorwhen calculating pesq for a batch (#2753)e9fdc49build(deps): update dython requirement from ~=0.7.7 to ~=0.7.8 in /requiremen...9910d7bbuild(deps): update fire requirement from ==0.6.* to ==0.7.* in /requirements...c462a20docs: update description forMeanAveragePrecisionmetric (#2770)e22eadcDocs: fixes forSMAPEandR2Score(#2771)6dafed4fix: pearson changes inputs (#2765)96adc8bdocs: try autobuild for local dev (#2518)8455abfbuild(deps): bump pypa/gh-action-pypi-publish from 1.10.0 to 1.10.2 (#2766)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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