omniregress 2.1.0

OmniRegress: A comprehensive Python library for all types of regression analysis.

OmniRegress

A comprehensive Python library for all types of regression analysis.

Update: 2.1.0

New: Linear Regression implemented from scratch in Rust!

🔵 Basic Regression Models

• [✅] Linear Regression - Models linear relationships. (Usage)
• [✅] Polynomial Regression - Fits nonlinear data with polynomial terms. (Usage)
• Logistic Regression - Binary classification (technically regression).
• Ridge Regression (L2) - Prevents overfitting via L2 penalty.
• Lasso Regression (L1) - Performs feature selection via L1 penalty.
• Elastic Net - Combines L1 + L2 regularization.

🟢 Specialized Regression

• Poisson Regression - For count data (e.g., website visits).
• Cox Regression - Survival/time-to-event analysis.
• Quantile Regression - Predicts specific percentiles (e.g., median).
• Bayesian Regression - Incorporates prior distributions.

🟠 Nonlinear & ML-Based

• Support Vector Regression (SVR) - Uses kernels for complex patterns.
• Decision Tree Regression - Splits data into hierarchical rules.
• Random Forest Regression - Ensemble of decision trees.
• Neural Network Regression - Deep learning for high-dimensional data.

🟣 Other Advanced Types

• Gaussian Process Regression - Probabilistic nonlinear modeling.
• Negative Binomial Regression - Overdispersed count data.
• Multinomial Logistic Regression - Multi-class classification.