releasing 1.4.0

CHANGELOG.md

@@ -8,68 +8,36 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ---
 
-## [UnReleased] - 2024-MM-DD
+## [1.4.0] - 2024-05-03
 
 ### Added
 
-- Added `GeneralizedDiceScore` to segmentation package ([#1090](https://github.com/Lightning-AI/metrics/pull/1090))
-
-
 - Added `SensitivityAtSpecificity` metric to classification subpackage ([#2217](https://github.com/Lightning-AI/torchmetrics/pull/2217))
-
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-- Added `QualityWithNoReference` metric ([#2288](https://github.com/Lightning-AI/torchmetrics/pull/2288))
-
-
+- Added `QualityWithNoReference` metric to image subpackage ([#2288](https://github.com/Lightning-AI/torchmetrics/pull/2288))
+- Added a new segmentation metric:
+    - `MeanIoU` ([#1236](https://github.com/PyTorchLightning/metrics/pull/1236))
+    - `GeneralizedDiceScore` ([#1090](https://github.com/Lightning-AI/metrics/pull/1090))
 - Added support for calculating segmentation quality and recognition quality in `PanopticQuality` metric ([#2381](https://github.com/Lightning-AI/torchmetrics/pull/2381))
-
-
-- Added a new segmentation metric `MeanIoU` ([#1236](https://github.com/PyTorchLightning/metrics/pull/1236))
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 - Added `pretty-errors` for improving error prints ([#2431](https://github.com/Lightning-AI/torchmetrics/pull/2431))
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 - Added support for `torch.float` weighted networks for FID and KID calculations ([#2483](https://github.com/Lightning-AI/torchmetrics/pull/2483))
-
-
 - Added `zero_division` argument to selected classification metrics ([#2198](https://github.com/Lightning-AI/torchmetrics/pull/2198))
 
-
 ### Changed
 
 - Made `__getattr__` and `__setattr__` of `ClasswiseWrapper` more general ([#2424](https://github.com/Lightning-AI/torchmetrics/pull/2424))
 
-
-### Deprecated
-
-
-
 ### Fixed
 
 - Fix getitem for metric collection when prefix/postfix is set ([#2430](https://github.com/Lightning-AI/torchmetrics/pull/2430))
-
-
 - Fixed axis names with Precision-Recall curve ([#2462](https://github.com/Lightning-AI/torchmetrics/pull/2462))
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 - Fixed list synchronization with partly empty lists ([#2468](https://github.com/Lightning-AI/torchmetrics/pull/2468))
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 - Fixed memory leak in metrics using list states ([#2492](https://github.com/Lightning-AI/torchmetrics/pull/2492))
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 - Fixed bug in computation of `ERGAS` metric ([#2498](https://github.com/Lightning-AI/torchmetrics/pull/2498))
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 - Fixed `BootStrapper` wrapper not working with `kwargs` provided argument ([#2503](https://github.com/Lightning-AI/torchmetrics/pull/2503))
-
-
 - Fixed warnings being suppressed in `MeanAveragePrecision` when requested ([#2501](https://github.com/Lightning-AI/torchmetrics/pull/2501))
+- Fixed corner-case in `binary_average_precision` when only negative samples are provided ([#2507](https://github.com/Lightning-AI/torchmetrics/pull/2507))
 
-
-- Fixed cornercase in `binary_average_precision` when only negative samples are provided ([#2507](https://github.com/Lightning-AI/torchmetrics/pull/2507))
-
+---
 
 ## [1.3.2] - 2024-03-18
 

docs/source/conf.py

@@ -477,4 +477,6 @@ def _get_version_str() -> str:
     "https://ieeexplore.ieee.org/abstract/document/4317530",
     # Robust parameter estimation with a small bias against heavy contamination
     "https://www.sciencedirect.com/science/article/pii/S0047259X08000456",
+    # chrF++: words helping character n-grams
+    "https://aclanthology.org/W17-4770",
 ]

src/torchmetrics/__about__.py

@@ -1,4 +1,4 @@
-__version__ = "1.4.0dev"
+__version__ = "1.4.0"
 __author__ = "Lightning-AI et al."
 __author_email__ = "name@pytorchlightning.ai"
 __license__ = "Apache-2.0"