Skip to main content

A scikit-learn compatible Fuzzy Support Vector Machine implementation.

Project description

fsvm - A Fuzzy Support Vector Machine implementation for Python

tests codecov doc

fsvm.FuzzySVC is a Python module implementing fuzzy support vector machine classifier. Its API is fully compatible with scikit-learn.

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

fsvm-0.2.0.tar.gz (108.6 kB view details)

Uploaded Source

Built Distribution

fsvm-0.2.0-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file fsvm-0.2.0.tar.gz.

File metadata

  • Download URL: fsvm-0.2.0.tar.gz
  • Upload date:
  • Size: 108.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for fsvm-0.2.0.tar.gz
Algorithm Hash digest
SHA256 9bcfb6e16c0c31ce0c2aee6a03e27cd68d4cb46c2c597dc190b1a270608aebf9
MD5 dd820c7c6304a318a0287b7e514b4dea
BLAKE2b-256 97ebc7fec1c42b6804bdc6d1a4f14cb79eda70455d5527b00d03afc4aa1baa1b

See more details on using hashes here.

File details

Details for the file fsvm-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: fsvm-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for fsvm-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 48756eecdefe2a07633420e0c126c1bac0c3c6fe5c4c3f2f7ad5468e95d272cd
MD5 02cac2241d075601a4c04efe718e14af
BLAKE2b-256 0655cbcb8aa55be335a052bab526d9c291258ecc828c9130cabdc801945aff85

See more details on using hashes here.

Supported by

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