Package to generate numbers in the unit hypercube subject to constraints.
Project description
Sampling a high dimensional space under non-linear constraints.
Initially composed as a technical challenge for Citrine.
Operation
As a python script
Install from PyPy
Scaling and future work
- Security considerations of
eval. - Special cases have analytic solutions (linear constraints defining a simplex)
- The current method works best in continuous spaces.
- Consider limits of time and memory
- Improved uniformnity on sampling after certain number of steps (autocorrelation function) D. Chandler, Introduction to Modern Statistical Mechanics (Oxford University Press, 1987
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
File details
Details for the file constrained_sampler-maffettone-0.0.2.tar.gz.
File metadata
- Download URL: constrained_sampler-maffettone-0.0.2.tar.gz
- Upload date:
- Size: 355.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9f28235352771d01c4be0eaf77c02f30e02fe646931eb4b2615a2812d8cf414f |
|
| MD5 | 4dbd43aeb6023f6313f3cb84ad683cce |
|
| BLAKE2b-256 | b38ea3adab01c1968e235d7ad30cc9b68c03c9898203259b065fd22f3769ff7a |
