Skip to main content

This package contains the code for creating a ml pipeline

Project description

The Agogos package contains implementations of ml pipeline blocks and the underlying code

This package contains many modules and classes necessary to construct the ml pipeline for machine learning competitions.

Pytest coverage report

To generate pytest coverage report run

pytest --cov=agogos --cov-report=html:coverage_re

Documentation

Documentation is generated using Sphinx.

To make the documentation, run make html with docs as the working directory. The documentation can then be found in docs/_build/html/index.html.

Here's a short command to make the documentation and open it in the browser:

cd ./docs/;
./make.bat html; start chrome file://$PWD/_build/html/index.html
cd ../

Uploading to pypi

python -m build

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

agogos-0.0.2.tar.gz (7.5 kB view details)

Uploaded Source

Built Distribution

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

agogos-0.0.2-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file agogos-0.0.2.tar.gz.

File metadata

  • Download URL: agogos-0.0.2.tar.gz
  • Upload date:
  • Size: 7.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for agogos-0.0.2.tar.gz
Algorithm Hash digest
SHA256 a1985014ceb6c577decd9318631878318f7c9c4f1dc115ebd61d560a45b20392
MD5 cbdf4843e0b593132731e4077409e181
BLAKE2b-256 45600335e1ae2f859189051c424de30ab6371db3a315ad0c64dcdd64b92d811c

See more details on using hashes here.

File details

Details for the file agogos-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: agogos-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 8.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for agogos-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e11e657d27b1d76e7ccbba1a67bfdac6c22667752ea80a811e436d9467771c5f
MD5 8497d151095c895694211e1bcacf9a3c
BLAKE2b-256 6a381a096c7870454e27ff2248e252cf87e55117c04a21b2e86a2ddaddd339a9

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