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.
If you want to know more about
Tick, a detailed documentation is available here
In order to install
Tick easily, just type
pip install tick
in your terminal.
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 !
If you are using
Tick please cite the corresponding paper
- tick: a Python library for statistical learning, with a particular emphasis on time-dependent modeling, E. Bacry, M. Bompaire, P. Deegan, S. Gaïffas and S. V. Poulsen, Journal of Machine Learning Research (2018)