pysr

We have hosted the application pysr in order to run this application in our online workstations with Wine or directly.

Quick description about pysr:

PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several years, PySR has been engineered from the ground up to be (1) as high-performance as possible, (2) as configurable as possible, and (3) easy to use. PySR is developed alongside the Julia library SymbolicRegression.jl, which forms the powerful search engine of PySR. The details of these algorithms are described in the PySR paper. Symbolic regression works best on low-dimensional datasets, but one can also extend these approaches to higher-dimensional spaces by using "Symbolic Distillation" of Neural Networks, as explained in 2006.11287, where we apply it to N-body problems. Here, one essentially uses symbolic regression to convert a neural net to an analytic equation. Thus, these tools simultaneously present an explicit and powerful way to interpret deep neural networks.

Features:

• The PySR build in conda includes all required dependencies
• Examples available
• You can also test out PySR in Docker
• PySR searches for symbolic expressions which optimize a particular objective
• PySR is an open-source tool for Symbolic Regression
• Machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective

Programming Language: Python.
Categories: