Skip to main content

A package for performing TF-IDF transformation on text data

Project description

tfidf_afiniti

This project developing for an assessment:

Create a framework that does tf-idf transformation, you can use sklearn's tfidf function. Keep the following in mind

  • Handle Edge Cases : what happens when new text data arrives
  • Create Unit Tests : check failure scenarios
  • Add Docstrings : assume you will hand this code to some other SWE
  • Obey Engineering Best Practices
  • Use necessary inheritances

Create a (pypi) package out of this framework.

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

tfidf_transformer_afiniti-0.2-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file tfidf_transformer_afiniti-0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for tfidf_transformer_afiniti-0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6293985d923ce331411fe56b54029c9a73557b297eb63be74ba06eeb81bdadf6
MD5 a82c0280e73024963ec0b7aa51c94c52
BLAKE2b-256 0be1b678bf14b8874d7acfeed66cb7fb9a1e540fb1615723c927f31316842403

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