simdkalman 1.0.4
pip install simdkalman
Latest version
Released:
Kalman filters vectorized as Single Instruction, Multiple Data
Navigation
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Otto Seiskari
- Tags kalman, kalman-filter, smoothing, em, timeseries, ekf
Classifiers
- Development Status
- Intended Audience
- License
- Programming Language
- Topic
Project description
Fast Kalman filters in Python leveraging single-instruction multiple-data vectorization. That is, running n similar Kalman filters on n independent series of observations. Not to be confused with SIMD processor instructions.
See full documentation.
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Otto Seiskari
- Tags kalman, kalman-filter, smoothing, em, timeseries, ekf
Classifiers
- Development Status
- Intended Audience
- License
- Programming Language
- Topic
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file simdkalman-1.0.4-py2.py3-none-any.whl
.
File metadata
- Download URL: simdkalman-1.0.4-py2.py3-none-any.whl
- Upload date:
- Size: 11.5 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fc2c6b9e540e0a26b39d087e78623d3c1e8c6677abf5d91111f5d49e328e1668 |
|
MD5 | cab1e25a58aee72803b160d324434e7d |
|
BLAKE2b-256 | 2021116a701a3b61b4e9a1701e1eebe8e5bc72ec947e51e462fc54e137d172c5 |