publication-2022

State of the code as run for our pending 2022 publication, link forthcoming.

v1 release candidate

This release corresponds to the production run from September 2016, leading up to results for the 4th IQUOD meeting (Tokyo), used in conjunction with docker image iquod/autoqc:1.0.0.

coverage studies

This tag is the first in what will likely be a series of studies of the coverage of the basic QC tests, before returning to the problem of machine learning.

Learning Study Snapshot

This version of the code was used to analyze profile data in preparation for a study of machine learning algorithms.

Please note all learning-x.y.z tags are drafts for study purposes only, and do not constitute formal releases.