Skip to main content

Blooper is a oversampling technique to handle imbalance datasets

Project description

Blooper is a oversampling technique to handle imbalance datasets. I made this pypi library for hackathon

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

blooper-1.0.0-py3-none-any.whl (2.0 kB view details)

Uploaded Python 3

File details

Details for the file blooper-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: blooper-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 2.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.7

File hashes

Hashes for blooper-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f6c4186ba5094dae2e38cf62f07d495950193292cab65309c9f64c31b148ecb6
MD5 f537879eac4372bbb0e86910006fd5e5
BLAKE2b-256 4ea0e4cc78f12cd1c0c2acdbc9bf0c732d2cc064854004133290a029ad7ae3a7

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