bump for 0.2.5 release (#64)

Co-authored-by: Arian Jamasb <arian.jamasb@roche.com>
a-r-j · Dec 28, 2023 · 14e33c8 · 14e33c8
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,6 +1,4 @@
-### 0.2.6 (Unreleased)
-
-
+### 0.2.5 (28/12/2023)
 
 #### Datasets
 
@@ -9,15 +7,18 @@
 * Fix `num_classes` for GO datamodules * Set `in_memory=True` as default for most (downstream) datasets for improved performance [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 * Fixes GO labelling [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 
-
 ### Features
+
 * Improves positional encoding performance by adding a `seq_pos` attribute on `Data/Protein` objects in the base dataset getter. [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 
 ### Models
+
+* Implement ESM embedding encoder ([#33](https://github.com/a-r-j/ProteinWorkshop/pull/33), [#41](https://github.com/a-r-j/ProteinWorkshop/pull/33))
 * Adds CDConv implementation [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 * Adds tuned hparams for models [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 
 ### Framework
+
 * Refactors beartype/jaxtyping to use latest recommended syntax [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 * Adds explainability module for performing attribution on a trained model [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 * Change default finetuning features in config: `ca_base` -> `ca_seq` [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
@@ -27,10 +28,6 @@
 * Adds multi-hot label encoding transform [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 * Fixes auto PyG install for `torch>2.1.0` [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
 * Adds `proteinworkshop.model_io` containing utils for loading trained models [#53](https://github.com/a-r-j/ProteinWorkshop/pull/53/)
-
-### 0.2.5 (25/09/2024)
-
-* Implement ESM embedding encoder ([#33](https://github.com/a-r-j/ProteinWorkshop/pull/33), [#41](https://github.com/a-r-j/ProteinWorkshop/pull/33))
 * Add script for plotting UMAP embeddings of any dataset given a pre-trained encoder model
 
 ### 0.2.4 (10/09/2024)

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -9,7 +9,7 @@
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
 project = "Protein Workshop"
 author = "Arian R. Jamasb"
-release = "0.2.4"
+release = "0.2.5"
 copyright = f"{datetime.datetime.now().year}, {author}"
 
 # -- General configuration ---------------------------------------------------

diff --git a/poetry.lock b/poetry.lock
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "proteinworkshop"
-version = "0.2.4"
+version = "0.2.5"
 description = ""
 authors = ["Arian Jamasb <arian@jamasb.io>"]
 readme = "README.md"