Skip to main content

Labour add-ons for BGM Toolkit

Reason this release was yanked:

superseded; use 0.1.22

Project description

BGM Toolkit – Labour v0.1.2

CI

Config-driven Bourdieu-inspired gravity model for labour markets: worker↔job matching, distance variants, elasticities, capacity & reports.

Quick start

python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt export PYTHONPATH="$PWD" python -m pip install -e . bgm-labour --help

or:

bgm-labour --config configs/run.yaml

Inputs

  • workers.csv (E,C,S)
  • jobs.csv (E,C,S, capacity)

Outputs (in outputs/)

  • H_matrix.csv, shares.csv, top_choices.csv
  • elasticities.json, expected_demand.csv, capacity_utilization.csv
  • report_excel.xlsx, report_html.html

Demos

https://arturongr.github.io/demos/

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

bgm_toolkit_labour-0.1.16.tar.gz (2.3 kB view details)

Uploaded Source

Built Distribution

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

bgm_toolkit_labour-0.1.16-py3-none-any.whl (2.3 kB view details)

Uploaded Python 3

File details

Details for the file bgm_toolkit_labour-0.1.16.tar.gz.

File metadata

  • Download URL: bgm_toolkit_labour-0.1.16.tar.gz
  • Upload date:
  • Size: 2.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for bgm_toolkit_labour-0.1.16.tar.gz
Algorithm Hash digest
SHA256 a82087456c5329afadc81f637b43e55fc18f4023bdc9420d4c4408c4124fc616
MD5 61726f29c0d9bcc61a1ed1f094c23168
BLAKE2b-256 a8fba90eab93d473b810042031ee5a5023d3a39ec82c41151e798cc1c2cb4a87

See more details on using hashes here.

File details

Details for the file bgm_toolkit_labour-0.1.16-py3-none-any.whl.

File metadata

File hashes

Hashes for bgm_toolkit_labour-0.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 94c1a16c06ee751b3b12095f321b557020064fb623c6c08a897181bacdf0833a
MD5 1a9448a716acf765db5412c412c2b0d0
BLAKE2b-256 28c450cc67d09b15750a30b2f8b7ffba54b21b112cd06ffc97f695cc415f0ac6

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