Skip to main content

Interpretable NLI-based text features for scikit-learn

Project description

The author of this package has not provided a project description

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

semaxis-0.19.0.tar.gz (10.9 kB view details)

Uploaded Source

Built Distribution

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

semaxis-0.19.0-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file semaxis-0.19.0.tar.gz.

File metadata

  • Download URL: semaxis-0.19.0.tar.gz
  • Upload date:
  • Size: 10.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for semaxis-0.19.0.tar.gz
Algorithm Hash digest
SHA256 6665c38fc8dba244a8975a0d6e7f1d1649cf8d04141a33a188296c71c415530c
MD5 81753428b3e20e4616a7be72b9a63858
BLAKE2b-256 cad6a6b3bb9987a98077e1036091aa19b3d4f86449af58575d9036785c4e6ac1

See more details on using hashes here.

File details

Details for the file semaxis-0.19.0-py3-none-any.whl.

File metadata

  • Download URL: semaxis-0.19.0-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.4

File hashes

Hashes for semaxis-0.19.0-py3-none-any.whl
Algorithm Hash digest
SHA256 01bdf67f4e4d62542a85b9b2320a528accdcdf861a2ca7cc5b04ff1a4357c058
MD5 9be94f4c286da3c423a1acdaff90a14f
BLAKE2b-256 4a8bf262f0747bb2dbce3a2ca3ee7eeb7adf4470334e0f78ac8819af163ae26a

See more details on using hashes here.

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