LifeCycles is a Python software package that allows to represent and analyze the temporal dynamics of (groups of) data points/nodes. The library provides a set of tools to model and analyze the temporal evolution of data points/nodes, and to extract meaningful patterns from the data.
If you use LifeCycles as support to your research consider citing:
@article{Failla2024describing, title = {Describing group evolution in temporal data using multi-faceted events}, ISSN = {1573-0565}, url = {http://dx.doi.org/10.1007/s10994-024-06600-4}, DOI = {10.1007/s10994-024-06600-4}, journal = {Machine Learning}, publisher = {Springer Science and Business Media LLC}, author = {Failla, Andrea and Cazabet, Rémy and Rossetti, Giulio and Citraro, Salvatore}, year = {2024}, month = aug }
Check out the official tutorial to get started!
If you would like to test LifeCycles functionalities without installing anything on your machine consider using the preconfigured Jupyter Hub instances offered by SoBigData++.
LifeCycles requires python>=3.9.
To install the latest version of our library just download (or clone) the current project, open a terminal and run the following commands:
pip install -r requirements.txt
pip install .
Alternatively use pip
pip install lifecycles
LifeCycles is an active project, any contribution is welcome!
If you like to include your model in LifeCycles feel free to fork the project, open an issue and contact us.