Upgrade 1: upgrade to pyproject.toml and python 3.9+

.github/workflows/publish_to_pypi.yml

@@ -10,6 +10,8 @@ jobs:
         steps:
             - name: Checkout sources
               uses: actions/checkout@v2
+            - name: Install uv
+              uses: astral-sh/setup-uv@v5
 
             - name: Set up Python
               uses: actions/setup-python@v2
@@ -18,7 +20,7 @@ jobs:
 
             - name: Install dependencies
               run: |
-                  pip install .
+                  uv pip install .[dev]
             - name: Publish hep_ml to PyPi
               env:
                   TWINE_USERNAME: "__token__"

.github/workflows/run_tests.yml

@@ -8,16 +8,18 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.7, 3.9]
+        python-version: [3.9, 3.13]
 
     steps:
       - uses: actions/checkout@v2
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v2
         with:
           python-version: ${{ matrix.python-version }}
       - name: install dependencies
-        run: pip install numpy scipy six pandas scikit-learn nose -q
+        run: uv pip install --system .[test] -q
       - name: Run tests
         run: |
-          pip install . && nosetests tests
+          nosetests tests

CHANGELOG.md

@@ -0,0 +1,11 @@
+# Changelog
+
+
+## [Unreleased]
+
+### Major Changes
+- Support for Python 3.9 up to 3.13.
+
+### Breaking Changes
+- Removed `hep_ml.nnet` module, which was based on Theano. Users are encouraged to use PyTorch, JAX, TensorFlow and similar for neural networks.
+- Removed support for Python 3.8 and earlier versions.