Skip to main content

A friendly way to tune scikit-learn pipelines.

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 Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

scikit_tune-0.1.0-py3-none-any.whl (3.3 kB view details)

Uploaded Python 3

File details

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

File metadata

  • Download URL: scikit_tune-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 3.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for scikit_tune-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 720d45f0348e155e6272ee8884bee9a2d05274998423664364071739139ef146
MD5 c17975db0004b0044b5e2b10ebe063a1
BLAKE2b-256 b19a64e261b89fb8ffafd6de48afc20d03d907e42a680bc4f95a770b542f0413

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