tick is a statistical learning library for Python 3, with a particular emphasis on time-dependent models, such as point processes, and tools for generalized linear models and survival analysis.

The core of the library is an optimization module providing model computational classes, solvers and proximal operators for regularization. tick relies on a C++11 implementation and state-of-the-art optimization algorithms to provide very fast computations in a single node multi-core setting.

Tick’s documentation

If you want to know more about Tick, a detailed documentation is available here

Tick’s installation

In order to install Tick easily, just type

pip install tick

in your terminal.

Tick’s repository

If you want to get the latest version, you can git clone the repository, and follow the instructions from the README to install

We are more than welcoming contributors for this project ! Enjoy !

Tick’s paper

If you are using Tick please cite the corresponding paper