RithML: Machine Learning Algorithms

RithML is a machine learning (ML) library containing implementations for common machine learning algorithms, including those for classification, regression, dimensionality reduction, and clustering.

Development

RithML is primarily built on NumPy and SciPy, although a few classes use CVXOPT for convex optimization. scikit-learn, while not explicitly used, is an inspiration for much of the functionality (e.g. function signatures).

RithML is developed by Kevin Liu (kevinl9@yahoo.com). Any feedback is welcome, through either the issues page on GitHub or email.

Contents:

• Installation
  • Dependencies
• API Reference
  • Classification
  • Regression
  • Dimensionality Reduction
  • Clustering
  • Base Model
• Examples
  • Classification
  • Regression
  • Dimensionality Reduction
  • Clustering
  • Model Parameters
• Release Notes