Skip to main content

A Python machine learning implementation for gCTLN models.

Project description

Oscillon

Image

Actions Status Documentation Status

PyPI version Conda-Forge PyPI platforms

GitHub Discussion

Coverage

This package is intended to be a machine learning implementation and tool for general Combinatorial Threshold Linear Networks (gCTLNs). The name is inspired by the oscillating and dynamic behavior of oscillons, similar to the type of behavior exhibity in CTLNs. This package/repository is currently under development. Thank you for your patience.

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

oscillon-0.1.0a2.tar.gz (772.7 kB view details)

Uploaded Source

Built Distribution

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

oscillon-0.1.0a2-py3-none-any.whl (10.6 kB view details)

Uploaded Python 3

File details

Details for the file oscillon-0.1.0a2.tar.gz.

File metadata

  • Download URL: oscillon-0.1.0a2.tar.gz
  • Upload date:
  • Size: 772.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for oscillon-0.1.0a2.tar.gz
Algorithm Hash digest
SHA256 c06d44e4f6a065db4e5487942ea2cb929f42cde47ec01d1f83b0a7a685ef82b5
MD5 4e14ea2c482cd27c650d37f42410b0d7
BLAKE2b-256 f9fed9b36ee7d039eeb5e85d043de56da9b0df14ebf6253df957484a91e60f20

See more details on using hashes here.

Provenance

The following attestation bundles were made for oscillon-0.1.0a2.tar.gz:

Publisher: cd.yml on lburtle/oscillon

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file oscillon-0.1.0a2-py3-none-any.whl.

File metadata

  • Download URL: oscillon-0.1.0a2-py3-none-any.whl
  • Upload date:
  • Size: 10.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for oscillon-0.1.0a2-py3-none-any.whl
Algorithm Hash digest
SHA256 8832353b6934f8cdcde7a724f7980c2b7b71672d4d1447f49fa7e9542ff91a3e
MD5 76ebbed8e1934db2ea09a2c1fce6f7dc
BLAKE2b-256 05750423b58f99d26a05709342b4aebf28fe499d4d77319f08356e726753427b

See more details on using hashes here.

Provenance

The following attestation bundles were made for oscillon-0.1.0a2-py3-none-any.whl:

Publisher: cd.yml on lburtle/oscillon

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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