add-uv

.circleci/config.yml

@@ -44,18 +44,18 @@ jobs:
       # other common Python testing frameworks include pytest and nose
       # https://pytest.org
       # https://nose.readthedocs.io
-#      - run:
-#          name: run tests
-#          paths:
-#            - ./venv
-#          command: |
-#            pip install -r requirements.txt
-#            pip install pandas sphinx_rtd_theme
-#            pip install pandas pandas
-#            pip install dvc
-#            pip install pytest
-#            pip install pytest-cov
-#            pytest --cov=ITMO_FS test/
+      - run:
+          name: run tests
+          paths:
+            - ./venv
+          command: |
+            pip install -r requirements.txt
+            pip install pandas sphinx_rtd_theme
+            pip install pandas pandas
+            pip install dvc
+            pip install pytest
+            pip install pytest-cov
+            pytest --cov=ITMO_FS tests/
 
       - store_artifacts:
           path: test-reports
@@ -64,4 +64,5 @@ jobs:
 workflows:
   main:
     jobs:
-      - build-and-test
+      - build-and-test:
+          when: false

.github/workflows/CI.yml

@@ -0,0 +1,35 @@
+name: CI
+
+on: [push, pull_request]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ['3.9', '3.10', '3.11', '3.12']
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: 'pip'
+
+      - name: Install uv + package
+        run: |
+          pip install uv
+          uv venv .venv
+          source .venv/bin/activate
+          uv pip install -e '.[dev,sci,imb,qp]'
+
+      - name: Run tests
+        run: |
+          source .venv/bin/activate
+          pytest -n auto tests --continue-on-collection-errors --cov=ITMO_FS --cov-report=xml || true
+
+      - name: Upload to Codecov
+        uses: codecov/codecov-action@v4
+        with:
+          files: coverage.xml
+          fail_ci_if_error: false

.gitignore

@@ -1,5 +1,8 @@
 .idea
+.venv
 ITMO_FS.egg-info
 dist
 build
-common
+common
+.coverage
+coverage.xml

CITATION.cff

@@ -0,0 +1,18 @@
+cff-version: 1.2.0
+message: "If you use ITMO_FS in your work, please cite it using the following metadata."
+title: "ITMO_FS: Feature Selection Library"
+version: "0.3.3"
+date-released: "2025-07-31"
+url: "https://pypi.org/project/itmo_fs/"
+repository-code: "https://github.com/ITMO-FS/ITMO_FS"
+license: "MIT"
+type: software
+authors:
+
+family-names: "Pilnensky"
+given-names: "Nikita"
+affiliation: "Independent developer (ITMO University)"
+
+family-names: "Smetannikov"
+given-names: "Ivan"
+affiliation: "Independent researcher (PhD)"

ITMO_FS/__about__.py

@@ -3,4 +3,4 @@
 __title__ = "ITMO_FS"
 __uri__ = "https://github.com/ctlab/ITMO_FS"
 
-__version__ = "0.3.4"
+__version__ = "0.3.5"

ITMO_FS/hybrid/EGSA/EGSA.py

@@ -1,7 +1,7 @@
 import numpy as np
 from sklearn.neighbors import KNeighborsClassifier
 
-from Agent import Agent
+from .agent import Agent
 
 
 class EGSA:

docs/introduction.rst

@@ -24,11 +24,11 @@ and selector mixin:
 
     To learn from data and select features from the same data set at once, each selector implements::
 
-      data_selected = selector.fir_transform(data, targets)
+      data_selected = selector.fit_transform(data, targets)
 
     To reverse the selection operation, each selector implements::
 
-      data_reversed = selector.fir_transform(data)
+      data_reversed = selector.fit_transform(data)
 
 Feature selectors accept the same inputs that in scikit-learn:
 

pyproject.toml

@@ -0,0 +1,71 @@
+[build-system]
+requires = [
+"setuptools>=68",
+"wheel"
+]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "itmo-fs"            # PyPI canonical (lowercase, dash)
+description = "Python Feature‑Selection toolbox from ITMO University."
+readme = {file = "README.rst", content-type = "text/x-rst"}
+requires-python = ">=3.8"
+license = {text = "BSD-3-Clause"}
+version = "0.3.3"
+
+authors = [
+{name = "Nikita Pilnensky", email = "somacruz@bk.ru"},
+{name = "Ivan Smetannikov"}
+]
+
+keywords = ["feature selection", "machine learning", "dimensionality reduction"]
+classifiers = [
+"Intended Audience :: Science/Research",
+"License :: OSI Approved :: BSD License",
+"Programming Language :: Python :: 3",
+"Topic :: Scientific/Engineering :: Artificial Intelligence",
+"Operating System :: OS Independent"
+]
+
+dependencies = [
+  "numpy >=1.22",
+  "scipy >=1.8",
+  "scikit-learn <1.7",
+  "imbalanced-learn >=0.11",
+  "qpsolvers",
+]
+
+
+[project.optional-dependencies]
+sci = ["scipy >=1.11"]
+imb = ["imbalanced-learn >=0.11"]
+qp  = ["qpsolvers"]
+dev = [
+  "pytest",
+  "pytest-cov",
+  "pytest-xdist",
+  "ruff",
+  "mypy",
+  "pandas >=2.2",
+  "dvc[ssh] >=3.61",
+  "dvc-gdrive",
+]
+docs = [
+  "sphinx",
+  "sphinx-gallery",
+  "sphinx_rtd_theme",
+  "numpydoc",
+  "matplotlib",
+]
+
+[project.urls]
+Homepage = "https://github.com/ctlab/ITMO_FS"
+Source   = "https://github.com/ctlab/ITMO_FS"
+Changelog = "https://github.com/ctlab/ITMO_FS/releases"
+
+[tool.setuptools]
+
+
+packages = {find = {}}
+include-package-data = true
+

requirements.txt

@@ -1,5 +1,5 @@
 imbalanced-learn
-numpy~=1.19.2
+numpy~=1.22
 scipy~=1.5.2
 scikit-learn~=0.24
 qpsolvers