A pure-Python implementation of linear prediction
Project description
PyMimic
A pure-Python implementation of linear prediction intended for use in curve-fitting, kriging, DACE modelling, and Gaussian-process emulation.
Access the documentation at Read the Docs.
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
pymimic-1.0.1.tar.gz
(856.7 kB
view details)
Built Distribution
File details
Details for the file pymimic-1.0.1.tar.gz.
File metadata
- Download URL: pymimic-1.0.1.tar.gz
- Upload date:
- Size: 856.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 553a67358360c358d1f16dbfc289278e8fc626368e63b6d4f56acc7df9f3c3b7 |
|
| MD5 | dc52e30748332930197eff6b2a1bd76f |
|
| BLAKE2b-256 | 044f4f80aefcd6b2302d749cf736fd6b47a0a76df565cde392b908a5b315afe2 |
File details
Details for the file pymimic-1.0.1-py3-none-any.whl.
File metadata
- Download URL: pymimic-1.0.1-py3-none-any.whl
- Upload date:
- Size: 1.0 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9129b413217a660113410baa77abe6cc63498f40e832db1818820e892fb0d5fe |
|
| MD5 | d336438d3b76487feab4b27d965cd645 |
|
| BLAKE2b-256 | e878506a7f784333a5b8f2872246322e3303038c0d12c71ce26a3498442782f4 |
