releasing 1.7.0

Author: Borda

CHANGELOG.md

@@ -6,47 +6,34 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 **Note: we move fast, but still we preserve 0.1 version (one feature release) back compatibility.**
 
+
 ---
 
-## [UnReleased] - 2024-MM-DD
+## [1.7.0] - 2025-03-20
 
 ### Added
 
+- Additions to image domain:
+  - Added `ARNIQA` metric ([#2953](https://github.com/Lightning-AI/torchmetrics/pull/2953))
+  - Added `DeepImageStructureAndTextureSimilarity` ([#2993](https://github.com/Lightning-AI/torchmetrics/pull/2993))
+  - Added support for more models and processors in `CLIPScore` ([#2978](https://github.com/Lightning-AI/torchmetrics/pull/2978))
 - Added `JensenShannonDivergence` metric to regression package ([#2992](https://github.com/Lightning-AI/torchmetrics/pull/2992))
-
-
 - Added `ClusterAccuracy` metric to cluster package ([#2777](https://github.com/Lightning-AI/torchmetrics/pull/2777))
-
-
-- Added `ARNIQA` metric to image domain ([#2953](https://github.com/PyTorchLightning/metrics/pull/2953))
-
-
-- Added support for more models and processors in `CLIPScore` ([#2978](https://github.com/PyTorchLightning/metrics/pull/2978))
-
-
-- Added `DeepImageStructureAndTextureSimilarity` to image package ([#2993](https://github.com/PyTorchLightning/metrics/pull/2993))
-
-
-- Added `Equal Error Rate (EER)` to classification package ([#3013](https://github.com/PyTorchLightning/metrics/pull/3013))
-
-
+- Added `Equal Error Rate (EER)` to classification package ([#3013](https://github.com/Lightning-AI/torchmetrics/pull/3013))
 - Added functional interface to `MeanAveragePrecision` metric ([#3011](https://github.com/Lightning-AI/torchmetrics/pull/3011))
 
-
 ### Changed
 
 - Making `num_classes` optional for `one-hot` inputs in `MeanIoU` ([#3012](https://github.com/Lightning-AI/torchmetrics/pull/3012))
 
-
 ### Removed
 
-- Removed `Dice` from classification ([#3017](https://github.com/PyTorchLightning/metrics/pull/3017))
-
+- Removed `Dice` from classification ([#3017](https://github.com/Lightning-AI/torchmetrics/pull/3017))
 
 ### Fixed
 
-- Fix edge case in integration between classwise wrapper and metric tracker ([#3008](https://github.com/Lightning-AI/torchmetrics/pull/3008))
-- Fix IndexError in MultiClassAccuracy when using top_k with single sample  ([#3021](https://github.com/Lightning-AI/torchmetrics/pull/3021))
+- Fixed edge case in integration between class-wise wrapper and metric tracker ([#3008](https://github.com/Lightning-AI/torchmetrics/pull/3008))
+- Fixed `IndexError` in `MultiClassAccuracy` when using `top_k` with single sample  ([#3021](https://github.com/Lightning-AI/torchmetrics/pull/3021))
 
 ---
 

src/torchmetrics/__about__.py

@@ -1,4 +1,4 @@
-__version__ = "1.7.0dev"
+__version__ = "1.7.0"
 __author__ = "Lightning-AI et al."
 __author_email__ = "[email protected]"
 __license__ = "Apache-2.0"