v0.0.6

Added CI testing and improved documentation

.github/workflows/main.yml

@@ -11,7 +11,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ["3.10", "3.11"]
+        python-version: ["3.10", "3.11", "3.12"]
 
     runs-on: ${{ matrix.os }}
 
@@ -33,10 +33,10 @@ jobs:
         python3 -m pip install --upgrade pip
         python3 -m pip install distclassipy pytest pytest-cov
 
-    - name: Test classifier with PyTest
+    - name: Test classifier model with PyTest
       run: |
         python3 -m pytest tests/test_classifier.py --cov=distclassipy.classifier --cov-report term-missing
 
-    - name: Test distances with PyTest
+    - name: Test distance functions with PyTest
       run: |
         python3 -m pytest tests/test_distances.py --cov=distclassipy.distances --cov-report term-missing

build/lib/distclassipy/classifier.py

@@ -253,6 +253,8 @@ def predict_and_analyse(self, X: np.array):
                     ).ravel()
                     sum_1d_dists = sum_1d_dists + dists / self.df_std_.loc[cl, feat]
                 confs = 1 / sum_1d_dists
+                # Add epsilon later
+                # confs = 1 / (sum_1d_dists + np.finfo(float).eps)
                 conf_cl.append(confs)
             conf_cl = np.array(conf_cl)
             self.conf_cl_ = conf_cl

distclassipy.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: distclassipy
-Version: 0.0.5
+Version: 0.0.6
 Summary: A python package for a distance-based classifier which can use several different distance metrics.
 Author-email: Siddharth Chaini <[email protected]>
 License:                     GNU GENERAL PUBLIC LICENSE

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "distclassipy"
-version = "0.0.5"
+version = "0.0.6"
 description = "A python package for a distance-based classifier which can use several different distance metrics."
 readme = "README.md"
 requires-python = ">=3.10"