The bfast-ray package provides a highly-efficient parallel implementation for the `Breaks For Additive Season and Trend (BFASTmonitor) proposed by Verbesselt et al. The implementation is based on Ray
Project description
bfast-ray
The bfast-ray package provides a highly-efficient parallel implementation for the `Breaks For Additive Season and Trend (BFASTmonitor) proposed by Verbesselt et al. The implementation is based on Ray
This package is adapted from https://github.com/diku-dk/bfast, with credit to mortvest.
- Free software: MIT license
- Documentation: https://benerain.github.io/bfast-ray
Dependencies
============
- numpy==1.25.2
- pandas==2.0.3
- scikit-learn==1.3.0
- scipy==1.11.2
- matplotlib==3.7.2
- wget==3.2
- ray==2.6.1
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
bfast-ray-0.0.3.tar.gz
(25.7 kB
view hashes)
Built Distribution
Close
Hashes for bfast_ray-0.0.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d547973562223fdde24865c4c26de29f2e796ab2f6f469c84ab0bac612cfb62f |
|
MD5 | e6da70594f1eb9692ca0723ae7ac0cb2 |
|
BLAKE2b-256 | 76c5ddbdd3d58e1513a4bb88ac6add5b9ece2f8da132f8f81a4a1c331100b7d5 |