RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
Project description
You can find minimal working example and other information here: https://github.com/kartelj/rils-rols
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
rils-rols-1.6.6.tar.gz
(2.9 MB
view details)
Built Distribution
File details
Details for the file rils-rols-1.6.6.tar.gz
.
File metadata
- Download URL: rils-rols-1.6.6.tar.gz
- Upload date:
- Size: 2.9 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | af9a80c8f975b6f977977b1f611483333b52eb4b53515fc7384f830a4f8722c1 |
|
MD5 | 8e185a0e6abe0fe07ee98a455e3fbcf8 |
|
BLAKE2b-256 | 88fac3dbe3b170831ff70c21f43096101910be13a5a1e77c4e46edb56c907ebb |
File details
Details for the file rils_rols-1.6.6-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: rils_rols-1.6.6-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 136.2 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 596500d26fa67d63f09daf93afd59f3391ce20494fe32b17ed8c1be2230e9a1e |
|
MD5 | 2a30065d9e5f8e2aded683ae4b9bbf1a |
|
BLAKE2b-256 | 4ae0ab40ecfc7834da579550f041ce75321531a35e8415772b4cee6bea8288c3 |