ml4qc 0.1.1

Toolkit for ML-based survey quality control

The ml4qc Python package offers a toolkit for employing machine learning technologies in survey data quality control.

Installation

Installing the latest version with pip:

pip install ml4qc

Overview

The ml4qc package builds on the scikit-learn toolset. It includes the following utility classes for working with survey data:

• SurveyML provides core functionality, including preprocessing and outlier detection

• SurveyMLClassifier builds on SurveyML, adding support for running classification models and reporting out results

Examples

This package is best illustrated by way of example. The following example analyses are available:

• CATI1 analysis

Documentation

See the full reference documentation here:

https://ml4qc.readthedocs.io/

Development

To develop locally:

1. git clone https://github.com/orangechairlabs/ml4qc.git

2. cd ml4qc

3. python -m venv venv

4. source venv/bin/activate

5. pip install -r requirements.txt

For convenience, the repo includes .idea project files for PyCharm.

To rebuild the documentation:

1. Update version number in /docs/source/conf.py

2. Update layout or options as needed in /docs/source/index.rst

3. In a terminal window, from the project directory:

   1. cd docs

   2. SPHINX_APIDOC_OPTIONS=members,show-inheritance sphinx-apidoc -o source ../src/ml4qc --separate --force

   3. make clean html

To rebuild the distribution packages:

1. For the PyPI package:

   1. Update version number (and any build options) in /setup.py

   2. Confirm credentials and settings in ~/.pypirc

   3. Run /setup.py for bdist_wheel build type (Tools… Run setup.py task… in PyCharm)

   4. Delete old builds from /dist

   5. In a terminal window:

      1. twine upload dist/* --verbose

2. For GitHub:

   1. Commit everything to GitHub and merge to main branch

   2. Add new release, linking to new tag like v#.#.# in main branch

3. For readthedocs.io:

   1. Go to https://readthedocs.org/projects/ml4qc/, log in, and click to rebuild from GitHub (only if it doesn’t automatically trigger)