Skip to main content

Learning Scikit from Tests by David Arroyo Menéndez

Project description

David

Table of Contents


1 Check Test 2 Pypi

Learning machine learning with scikit from Tests by David Arroyo Menéndez

1 Check Test

  • In the path:

,---- | $ cd damescikit `----

  • Execute all tests: ,---- | $ nosetests3 tests `----

  • Execute one file: ,---- | $ nosetests3 tests/test_models.py `----

  • Execute one test: ,---- | nosetests3 tests/test_models.py:TddInPythonExample.test_vectorizer_method_returns_correct_result `----

2 Pypi

  • To install from local: $ pip install -e .

  • To install create tar.gz in dist directory: $ python3 setup.py register sdist

  • To upload to pypi: $ twine upload dist/damenltk-0.1.tar.gz

  • You can install from Internet in a python virtual environment to check: $ python3 -m venv /tmp/dn $ cd /tmp/dn $ source bin/activate $ pip3 install damenltk

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

damescikit-0.1.4.tar.gz (44.1 kB view details)

Uploaded Source

File details

Details for the file damescikit-0.1.4.tar.gz.

File metadata

  • Download URL: damescikit-0.1.4.tar.gz
  • Upload date:
  • Size: 44.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for damescikit-0.1.4.tar.gz
Algorithm Hash digest
SHA256 cbf1b91efbf931557f22e66bfef32c44f2cc40061a9b704b286dea86d4261f5a
MD5 7838d9172367f3706ddaed89b7e8e21a
BLAKE2b-256 867528e790ce7f9a9b32eaa77d4e28d84bf94e954ea5ca9170d0685ead8a6641

See more details on using hashes here.

Supported by

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