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()