This is the Windows app named PySR whose latest release can be downloaded as v1.5.8sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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PySR
DESCRIPTION
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
This is an application that can also be fetched from https://sourceforge.net/projects/pysr.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
