Bump torchmetrics from 0.11.0 to 1.3.0.post0

[dependabot[bot]]

Bumps torchmetrics from 0.11.0 to 1.3.0.post0.

Release notes

Sourced from torchmetrics's releases.

New Image metrics & wrappers

[1.3.0] - 2024-01-10

Added

• Added more tokenizers for SacreBLEU metric (#2068)
• Added support for logging MultiTaskWrapper directly with lightnings log_dict method (#2213)
• Added FeatureShare wrapper to share submodules containing feature extractors between metrics (#2120)
• Added new metrics to image domain:
  • SpatialDistortionIndex (#2260)
  • Added CriticalSuccessIndex (#2257)
  • Spatial Correlation Coefficient (#2248)
• Added average argument to multiclass versions of PrecisionRecallCurve and ROC (#2084)
• Added confidence scores when extended_summary=True in MeanAveragePrecision (#2212)
• Added RetrievalAUROC metric (#2251)
• Added aggregate argument to retrieval metrics (#2220)
• Added utility functions in segmentation.utils for future segmentation metrics (#2105)

Changed

• Changed minimum supported Pytorch version from 1.8 to 1.10 (#2145)
• Changed x-/y-axis order for PrecisionRecallCurve to be consistent with scikit-learn (#2183)

Deprecated

• Deprecated metric._update_called (#2141)
• Deprecated specicity_at_sensitivity in favour of specificity_at_sensitivity (#2199)

Fixed

• Fixed support for half precision + CPU in metrics requiring topk operator (#2252)
• Fixed warning incorrectly being raised in Running metrics (#2256)
• Fixed integration with custom feature extractor in FID metric (#2277)

Full Changelog: https://github.com/Lightning-AI/torchmetrics/compare/v1.2.0...v1.3.0

Key Contributors

@​Borda, @​HoseinAkbarzadeh, @​matsumotosan, @​miskfi, @​oguz-hanoglu, @​SkafteNicki, @​stancld, @​ywchan2005

New Contributors

• @​pme0 made their first contribution in Lightning-AI/torchmetrics#2114
• @​damiankucharski made their first contribution in Lightning-AI/torchmetrics#2173
• @​clumsy made their first contribution in Lightning-AI/torchmetrics#2185
• @​jankng made their first contribution in Lightning-AI/torchmetrics#2226
• @​tanguymagne made their first contribution in Lightning-AI/torchmetrics#2230
• @​kyle-dorman made their first contribution in Lightning-AI/torchmetrics#2184
• @​oguz-hanoglu made their first contribution in Lightning-AI/torchmetrics#2199
• @​miskfi made their first contribution in Lightning-AI/torchmetrics#2257

... (truncated)

Changelog

Sourced from torchmetrics's changelog.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Note: we move fast, but still we preserve 0.1 version (one feature release) back compatibility.

---

[UnReleased] - 2024-MM-DD

Added

Changed

Deprecated

Fixed

---

[1.3.0] - 2024-01-10

Added

• Added more tokenizers for SacreBLEU metric (#2068)
• Added support for logging MultiTaskWrapper directly with lightnings log_dict method (#2213)
• Added FeatureShare wrapper to share submodules containing feature extractors between metrics (#2120)
• Added new metrics to image domain:
  • SpatialDistortionIndex (#2260)
  • Added CriticalSuccessIndex (#2257)
  • Spatial Correlation Coefficient (#2248)
• Added average argument to multiclass versions of PrecisionRecallCurve and ROC (#2084)
• Added confidence scores when extended_summary=True in MeanAveragePrecision (#2212)
• Added RetrievalAUROC metric (#2251)
• Added aggregate argument to retrieval metrics (#2220)
• Added utility functions in segmentation.utils for future segmentation metrics (#2105)

... (truncated)

Commits

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