Add setup file

.gitignore

@@ -6,8 +6,6 @@ tests/test_Mha*
 docs/
 README.md
 metaperceptron34234/
-setup.py
-
 examples/utils/
 examples/exam_mha*
 # Pycharm

setup.py

@@ -0,0 +1,80 @@
+#!/usr/bin/env python
+# Created by "Thieu" at 13:24, 25/05/2022 ----------%
+#       Email: nguyenthieu2102@gmail.com            %
+#       Github: https://github.com/thieu1995        %
+# --------------------------------------------------%
+
+from setuptools import setup, find_packages
+
+
+def readme():
+    with open('README.md', encoding='utf-8') as f:
+        README = f.read()
+    return README
+
+
+setup(
+    name="metaperceptron",
+    version="1.0.0",
+    author="Thieu",
+    author_email="nguyenthieu2102@gmail.com",
+    description="MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library",
+    long_description=readme(),
+    long_description_content_type="text/markdown",
+    keywords=["multi-layer perceptron", "machine learning", "artificial intelligence",
+              "deep learning", "neural networks", "single hidden layer network",
+              "random projection", "FLANN", "feed-forward neural network", "artificial neural network",
+              "classification", "regression", "supervised learning", "online learning", "generalization",
+              "optimization algorithms", "Kernel MLP", "Cross-validation"
+              "Genetic algorithm (GA)", "Particle swarm optimization (PSO)", "Ant colony optimization (ACO)",
+              "Differential evolution (DE)", "Simulated annealing", "Grey wolf optimizer (GWO)",
+              "Whale Optimization Algorithm (WOA)", "confusion matrix", "recall", "precision", "accuracy",
+              "pearson correlation coefficient (PCC)", "spearman correlation coefficient (SCC)",
+              "Global optimization", "Convergence analysis", "Search space exploration", "Local search",
+              "Computational intelligence", "Robust optimization", "metaheuristic", "metaheuristic algorithms",
+              "nature-inspired computing", "nature-inspired algorithms", "swarm-based computation",
+              "metaheuristic-based multi-layer perceptron", "metaheuristic-optimized MLP",
+              "Performance analysis", "Intelligent optimization", "Simulations"],
+    url="https://github.com/thieu1995/MetaPerceptron",
+    project_urls={
+        'Documentation': 'https://metaperceptron.readthedocs.io/',
+        'Source Code': 'https://github.com/thieu1995/MetaPerceptron',
+        'Bug Tracker': 'https://github.com/thieu1995/MetaPerceptron/issues',
+        'Change Log': 'https://github.com/thieu1995/MetaPerceptron/blob/master/ChangeLog.md',
+        'Forum': 'https://t.me/+fRVCJGuGJg1mNDg1',
+    },
+    packages=find_packages(exclude=['tests*', 'examples*']),
+    include_package_data=True,
+    license="GPLv3",
+    classifiers=[
+        "Development Status :: 5 - Production/Stable",
+        "Intended Audience :: Developers",
+        "Intended Audience :: Education",
+        "Intended Audience :: Information Technology",
+        "Intended Audience :: Science/Research",
+        "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
+        "Natural Language :: English",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Topic :: System :: Benchmark",
+        "Topic :: Scientific/Engineering",
+        "Topic :: Scientific/Engineering :: Mathematics",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+        "Topic :: Scientific/Engineering :: Information Analysis",
+        "Topic :: Scientific/Engineering :: Visualization",
+        "Topic :: Scientific/Engineering :: Bio-Informatics",
+        "Topic :: Software Development :: Build Tools",
+        "Topic :: Software Development :: Libraries",
+        "Topic :: Software Development :: Libraries :: Python Modules",
+        "Topic :: Utilities",
+    ],
+    install_requires=["numpy>=1.17.1", "scipy>=1.7.1", "scikit-learn>=1.0.2",
+                      "pandas>=1.3.5", "mealpy>=3.0.1", "permetrics>=1.5.0",
+                      "torch>=2.0.0", "skorch>=0.13.0"],
+    extras_require={
+        "dev": ["pytest>=7.0", "pytest-cov==4.0.0", "flake8>=4.0.1"],
+    },
+    python_requires='>=3.8',
+)