===== Usage ===== The basic use of Newton-Raphson Logistic Regression:: import numpy as np from sklearn.datasets import make_classification from newton_raphson import logistic_regression # Generate synthetic data X, y = make_classification(n_samples=100, n_features=5) # Perform logistic regression res = logistic_regression(X, y) # Print results res.summary()