NonlinearRegression

NonlinearRegression is a Python library inspired by scikit-learn, designed to tackle problems where data exhibits non-linear relationships. It offers a variety of tools for this purpose:

• Unweighted Nonlinear Regression: This approach combines linear regression with data transformations, making it accessible and efficient.

• Weighted Nonlinear Regression: This advanced method leverages the concept of function spaces as Hilbert spaces, allowing for more complex modeling with weighted data.

• Time Series Cross-Validation: The package includes a user-friendly tool to perform cross-validation on time series data treated as a regression problem.

Overall, NonlinearRegression empowers you to analyze and model intricate relationships within your data that might not be captured by standard linear regression techniques.