Skip to main content

# smc_kalman

Sequential Monte Carlo modeling for linear Gaussian systems

## Installation

  • Clone this repo to any convenient location on your local drive

  • From within your Python development environment (base environment or a virtual environment), run pip install -e LOCAL_PATH_TO_REPO

  • pip will install the smc_kalman package in your Python development environment (along with all dependencies)

  • You can then import the modules like any other Python package (e.g., import smc_kalman)

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wf-smc-kalman-0.1.0.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wf_smc_kalman-0.1.0-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file wf-smc-kalman-0.1.0.tar.gz.

File metadata

  • Download URL: wf-smc-kalman-0.1.0.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.5

File hashes

Hashes for wf-smc-kalman-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f6f35c0c4f729a177e5971eaf971d742ff7997251c239edcfefb1e52ec6db5b8
MD5 9c11066a704dda6006d2d07bb008c1ce
BLAKE2b-256 e2296ff892d89f05ba6f7396f9cbd340d6abb7b47b16b3a02f454fb041afdf24

See more details on using hashes here.

File details

Details for the file wf_smc_kalman-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: wf_smc_kalman-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/39.0.1 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.5

File hashes

Hashes for wf_smc_kalman-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4018749e20da14fdebe1c8f2d80162d8f00064f7860f7553ec3d8e7de7f749ad
MD5 05cba6f6899e4b4b6bd9f0837d614379
BLAKE2b-256 b367c9f409948c2700a86e76890b1b6f88880315977208ef0b4a096dc3c0e62a

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page