  Data-driven sparse system identification becomes the general framework for a
wide range of problems in science and engineering. It is a problem of growing
importance in applied machine learning and artificial intelligence algorithms.
In this work, we developed the Entropic Regression Software Package (ERFit), a
MATLAB package for sparse system identification using the entropic regression
method. The code requires minimal supervision, with a wide range of options
that make it adapt easily to different problems in science and engineering. The
ERFit is available at https://github.com/almomaa/ERFit-Package
