Describe your contribution
Project description
Equation Tree
The Equation Tree package is an equation toolbox with symbolic regression in mind. It represents expressions as incomplete binary trees and has various features tailored towards testing symbolic regression algorithms or training models. The main features are:
- Equation sampling (including priors)
- Feature Extraction from equation distributions
- Distance metrics between equations
Getting Started
Check out the documentation at https://autoresearch.github.io/equation-tree.
About
This project is in active development by the Autonomous Empirical Research Group (package developers: Ioana Marinescu and Younes Strittmatter, PI: Sebastian Musslick. This research program is supported by Schmidt Science Fellows, in partnership with the Rhodes Trust, as well as the Carney BRAINSTORM program at Brown University.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file equation_tree-0.0.30.tar.gz.
File metadata
- Download URL: equation_tree-0.0.30.tar.gz
- Upload date:
- Size: 805.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d98d0b295638ae5056b04d9ced7e5a871b590cbd0bfefd3268bd8a8dafa62d6a
|
|
| MD5 |
83b74126a7807f475e785fed726ed144
|
|
| BLAKE2b-256 |
bace43ecf5441f7dcc2e8c26b263fb8d9bd1202c24e161d0f0489c88aced11da
|
File details
Details for the file equation_tree-0.0.30-py3-none-any.whl.
File metadata
- Download URL: equation_tree-0.0.30-py3-none-any.whl
- Upload date:
- Size: 66.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
50c5bfcc05a64ffb01e918c5b4649a74edaf5bc0faa77dcfbdf4f266e2f62114
|
|
| MD5 |
3472a68f9a338ac6edbbb40684a5f259
|
|
| BLAKE2b-256 |
e0ab256ff1106f25a3f4c48b6fe3e56cbb6c0bdfda30784eedcc542f088e0c61
|
