Port TensorFlow estimators/tests to PyTorch: updated README and added CI release to pypi

Author: fabioferreira

.github/workflows/ci.yml

@@ -45,5 +45,24 @@ jobs:
         run: |
           python -m pip install build
           python -m build --sdist --wheel
-
+  release:
+    needs: build
+    runs-on: macos-latest
+    if: startsWith(github.ref, 'refs/tags/')
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: 3.11
+          cache: "pip"
+      - name: Install build tools
+        run: python -m pip install --upgrade pip build twine
+      - name: Publish to PyPI
+        env:
+          TWINE_USERNAME: __token__
+          TWINE_PASSWORD: ${{ secrets.PYPI_API_KEY }}
+        run: |
+          python -m build
+          twine upload dist/*
 

README.md

@@ -30,6 +30,9 @@ The core dependencies of cde are minimal:
 - PyTorch
 - NumPy
 - pandas
+- scipy
+- scikit-learn
+- wandb
 
 ## Installation
 

setup.py

@@ -4,10 +4,10 @@
     long_description = fh.read()
 
 setup(name='cde',
-      version='0.5.1',
+      version='1.0',
       long_description=long_description,
       description='Framework for conditional density estimation',
-      url='https://jonasrothfuss.github.io/Nonparametric_Density_Estimation',
+      url='https://github.com/freelunchtheorem/Conditional_Density_Estimation',
       author='Jonas Rothfuss, Fabio Ferreira',
       author_email='jonas.rothfuss@gmx.de, fabioferreira@mailbox.org',
       license='MIT',
@@ -22,7 +22,5 @@
         'scikit_learn',
         'statsmodels',
         'wandb',
-        'progressbar2',
-        'xlrd'
       ],
       zip_safe=False)