Update branch name from master to main in CI

Ci

.github/workflows/codeql.yml

@@ -32,13 +32,15 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        language: ["cpp", "python"]
+        language: ["python"]
         # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
         # Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
 
     steps:
       - name: Checkout repository
         uses: actions/checkout@v3
+        with:
+          submodules: recursive
 
       # Initializes the CodeQL tools for scanning.
       - name: Initialize CodeQL
@@ -61,6 +63,8 @@ jobs:
       - if: matrix.language == 'cpp'
         name: Build CPP
         run: |
+          pip install -q --upgrade pip
+          pip install -q scikit-learn cython
           make install
       # ℹ️ Command-line programs to run using the OS shell.
       # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun

.github/workflows/main.yml

@@ -2,9 +2,9 @@ name: CI
 
 on:
   push:
-    branches: [master, ci]
+    branches: [main]
   pull_request:
-    branches: [master]
+    branches: [main]
   workflow_dispatch:
 
 jobs:
@@ -16,7 +16,9 @@ jobs:
         python: ["3.10"]
 
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
+        with:
+          submodules: recursive
       - name: Set up Python ${{ matrix.python }}
         uses: actions/setup-python@v2
         with:
@@ -24,7 +26,7 @@ jobs:
       - name: Install dependencies
         run: |
           pip install -q --upgrade pip
-          pip install -q scikit-learn
+          pip install -q scikit-learn cython
           pip install -q --upgrade codecov coverage black flake8 codacy-coverage
       - name: Build and install
         run: |

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "src/cppmdlp"]
+	path = src/cppmdlp
+	url = https://github.com/rmontanana/mdlp.git

Makefile

@@ -15,6 +15,10 @@ coverage:
 	make test
 	coverage report -m
 
+submodule:
+	git submodule update --remote src/cppmdlp
+	git submodule update --merge
+
 lint:  ## Lint and static-check
 	black src
 	flake8 --per-file-ignores="__init__.py:F401" src

README.md

@@ -1,6 +1,10 @@
 # FImdlp
-
+[![CI](https://github.com/Doctorado-ML/FImdlp/actions/workflows/main.yml/badge.svg)](https://github.com/Doctorado-ML/FImdlp/actions/workflows/main.yml)
+[![CodeQL](https://github.com/Doctorado-ML/FImdlp/actions/workflows/codeql.yml/badge.svg)](https://github.com/Doctorado-ML/FImdlp/actions/workflows/codeql.yml)
 [![Codacy Badge](https://app.codacy.com/project/badge/Grade/8b4d784fee13401588aa8c06532a2f6d)](https://www.codacy.com/gh/Doctorado-ML/FImdlp/dashboard?utm_source=github.com&utm_medium=referral&utm_content=Doctorado-ML/FImdlp&utm_campaign=Badge_Grade)
+[![codecov](https://codecov.io/gh/Doctorado-ML/FImdlp/branch/main/graph/badge.svg?token=W8I45B5Z3J)](https://codecov.io/gh/Doctorado-ML/FImdlp)
+[![pypy](https://img.shields.io/pypi/v/FImdlp?color=g)](https://img.shields.io/pypi/v/FImdlp?color=g)
+![https://img.shields.io/badge/python-3.9%2B-blue](https://img.shields.io/badge/python-3.9%2B-brightgreen)
 
 Discretization algorithm based on the paper by Usama M. Fayyad and Keki B. Irani 
 
@@ -8,6 +12,12 @@ Discretization algorithm based on the paper by Usama M. Fayyad and Keki B. Irani
 Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In Proceedings of the 13th International Joint Conference on Artificial Intelligence (IJCAI-95), pages 1022-1027, Montreal, Canada, August 1995.
 ```
 
+## Installation
+
+```bash
+git clone --recurse-submodules https://github.com/doctorado-ml/FImdlp.git
+```
+
 ## Build and usage sample
 
 ### Python sample

samples/sample.cpp

@@ -50,9 +50,5 @@ int main(int argc, char** argv)
             cout << item << endl;
         }
     }
-    mdlp::indices_t indices = test.sortIndices(X[0]);
-    for (auto item : indices) {
-        cout << setw(3) << item << " " << X[0][item] << " " << y[item] << endl;
-    }
     return 0;
 }

src/fimdlp/tests/FImdlp_test.py

@@ -60,11 +60,12 @@ class FImdlpTest(unittest.TestCase):
         self.assertEqual(clf.n_features_, 4)
         self.assertTrue(np.array_equal(X, clf.X_))
         self.assertTrue(np.array_equal(y, clf.y_))
+
         expected = [
             [5.5, 5.800000190734863],
-            [3.0999999046325684],
+            [2.9000000953674316, 3.3499999046325684],
-            [2.450000047683716, 4.800000190734863, 5.099999904632568],
+            [2.450000047683716, 4.800000190734863],
-            [0.800000011920929, 1.7000000476837158],
+            [0.800000011920929, 1.7999999523162842],
         ]
         self.assertListEqual(expected, clf.get_cut_points())
         self.assertListEqual([0, 1, 2, 3], clf.features_)
@@ -108,11 +109,11 @@ class FImdlpTest(unittest.TestCase):
         )
         expected = [
             [0, 0, 1, 1],
-            [2, 0, 1, 1],
+            [2, 1, 1, 1],
             [1, 0, 1, 1],
             [0, 0, 1, 1],
             [1, 0, 1, 1],
-            [1, 0, 1, 1],
+            [1, 1, 1, 1],
             [1, 0, 1, 1],
         ]
         self.assertTrue(np.array_equal(clf.transform(X[90:97]), expected))