tiny little machine learning toolbox

Tilitools is basically a collection of (non-mainstream) machine learning model and tools with a special focus on anomaly detection, one-class learning, and structured data. Furthermore, we emphasize simplicity and ease-of-use not runtime performance (although we put some effort into optimization). Descriptive examples can be found in the notebooks/ and scripts/ sub-directories.

written by Nico Goernitz

Currently available models:

• (dual) support vector data description

• (dual) one-class support vector machine

• (convex,dual) semi-supervised anomaly detection method

• corresponding lp-norm mkl wrapper

• (primal) structured output support vector machine

• (primal) non-convex latent variable support vector data description

• corresponding multi-class joint feature map and methods

• examples