EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

mlpy: Machine Learning Python

mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is aimed at finding a reasonable compromise among modularity, maintainability, reproducibility, usability and efficiency. mlpy is multiplatform, it works with Py...

Combining Machine Learning with Evolutionary Computation: Recent Results on LEM

The Learnable Evolution Model (LEM), first presented at the Fourth International Workshop on Multistrategy Learning, employs machine learing to guide evolutionary computation . Specifically, LEM integrates two modes of operation: Machine Learning mode, which employs a machine learning algorithm, and Darwinian Evolution mode, which employs a conventional evolutionary algorithm. The central new i...

Evolutionary Computation in Constraint Satisfaction and Machine Learning

Scikit-learn: Machine Learning in Python

Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distrib...

Python Spectral Analysis Tool (pysat) for Preprocessing, Multivariate Analysis, and Machine Learning with Point Spectra