This is a Python implementation of Statistics. It calculates various summary statistics for entire dataset and also for all subgroups created by combining all possible values of nominal covariates.
It has two modes
compute --mode intermediatecompute --mode aggregate --job-ids 1 2 3
Intermediate mode calculates statistics from a single node, while aggregate mode is used after intermediate to combine statistics from multiple jobs. Intermediate mode can be also used to calculate statistics from single node.
Run: ./build.sh
Run: captain test
Run: ./publish.sh
Create symlink from python-summary-statistics to mip_helper module from python-mip
ln -s ~/projects/python-base-docker-images/python-mip/mip_helper/mip_helper mip_helper
Run unit tests
find . -name \*.pyc -delete
(cd tests; docker-compose run test_suite -x --ff --capture=no)