chore: bump version to 0.17.0

Author: percevalw

.github/workflows/tests.yml

@@ -153,7 +153,11 @@ jobs:
       env:
         GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
       run: |
-        URL=https://edsnlp-$BRANCH_NAME.vercel.app/
+        slugify () {
+            echo "$1" | iconv -c -t ascii//TRANSLIT | sed -E 's/[^a-zA-Z0-9-]+//g' | tr A-Z a-z
+        }
+        RAW_PROJECT_NAME="edsnlp-$BRANCH_NAME"
+        URL=https://$(slugify "$RAW_PROJECT_NAME").vercel.app/
         COMMENT_BODY="## Docs preview URL\n\n$URL\n\n"
         HEADER="Authorization: token $GITHUB_TOKEN"
         PR_COMMENTS_URL="https://api.github.com/repos/${{ github.repository }}/issues/${{ github.event.pull_request.number }}/comments"

README.md

@@ -34,13 +34,13 @@ Check out our interactive [demo](https://aphp.github.io/edsnlp/demo/) !
 You can install EDS-NLP via `pip`. We recommend pinning the library version in your projects, or use a strict package manager like [Poetry](https://python-poetry.org/).
 
 ```shell
-pip install edsnlp==0.16.0
+pip install edsnlp==0.17.0
 ```
 
 or if you want to use the trainable components (using pytorch)
 
 ```shell
-pip install "edsnlp[ml]==0.16.0"
+pip install "edsnlp[ml]==0.17.0"
 ```
 
 ### A first pipeline

changelog.md

@@ -1,6 +1,6 @@
 # Changelog
 
-## Unreleased
+## v0.17.0 (2025-04-15)
 
 ### Added
 
@@ -24,7 +24,7 @@
 - The parameter "value_extract" of `eds.score` now correctly handles lists of patterns.
 - "Zero variance error" when computing param tuning importance are now catched and converted as a warning
 
-## v0.16.0 (2025-0.3-26)
+## v0.16.0 (2025-03-26)
 
 ### Added
 - Hyperparameter Tuning for EDS-NLP: introduced a new script `edsnlp.tune` for hyperparameter tuning using Optuna. This feature allows users to efficiently optimize model parameters with options for single-phase or two-phase tuning strategies. Includes support for parameter importance analysis, visualization, pruning, and automatic handling of GPU time budgets.

docs/index.md

@@ -15,13 +15,13 @@ Check out our interactive [demo](https://aphp.github.io/edsnlp/demo/) !
 You can install EDS-NLP via `pip`. We recommend pinning the library version in your projects, or use a strict package manager like [Poetry](https://python-poetry.org/).
 
 ```{: data-md-color-scheme="slate" }
-pip install edsnlp==0.16.0
+pip install edsnlp==0.17.0
 ```
 
 or if you want to use the trainable components (using pytorch)
 
 ```{: data-md-color-scheme="slate" }
-pip install "edsnlp[ml]==0.16.0"
+pip install "edsnlp[ml]==0.17.0"
 ```
 
 ### A first pipeline

edsnlp/__init__.py

@@ -15,7 +15,7 @@
 import edsnlp.pipes
 from . import reducers
 
-__version__ = "0.16.0"
+__version__ = "0.17.0"
 
 BASE_DIR = Path(__file__).parent