Machine learning library similar to scikit-learn
Project description
📦 my-ml-lib
Лёгкая и удобная библиотека для машинного обучения в стиле scikit-learn.
Содержит базовые алгоритмы классификации, регрессии, кластеризации и метрики качества.
✨ Возможности
-
🧩 Классификация:
Logistic Regression, KNN, Decision Tree, Random Forest, Gradient Boosting, SVM -
📈 Регрессия:
Linear Regression, KNN, Decision Tree, Random Forest, Gradient Boosting -
🔍 Кластеризация:
KMeans, Agglomerative, DBSCAN -
🔬 Снижение размерности:
PCA -
📊 Метрики:
- Для классификации: Accuracy, Precision, Recall, F1, ROC AUC
- Для регрессии: MAE, MSE, RMSE, MAPE, R²
- Для кластеризации: Silhouette, Calinski-Harabasz, Davies-Bouldin
🚀 Установка
Из исходников (локально)
git clone https://github.com/yourname/my-ml-lib.git
cd my-ml-lib
pip install .
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