gold-miner-fingerprint: builds a visual training profile image

IMPORTANT: this page describes the `gold-mine-fingerprint` tool that is part of the ``gold-miner-ui`` python package, which is distributed separately from the ``gold-miner`` python package

The gold-miner-fingerprint tool takes a profile created by the gold-miner-trainer-aggregator tool and produces a graphical representation of it. The representation is design to visually show the differences in the profiles with more similar patterns being potentially harder to discern between compare to significantly different fingerprints.

Example Invocation

gold-miner-fingerprint training-profile.fsdb fingerprint.png

Command Line Arguments

introduction - CLI interface

Creates a fingerprint circle of each training profile for visual comparison

introduction [-h] [-s] [-b] [-v] [--log-level LOG_LEVEL] [input_file] output_file

introduction positional arguments

• input_file - Input training profile (default: <_io.TextIOWrapper name='<stdin>' mode='r' encoding='UTF-8'>)

• output_file - Output image file (default: None)

introduction optional arguments

• -h, --help - show this help message and exit

• -s, --size-labels - Add sizing labels

• -b, --missing-as-undef - If sizes are missing, don’t drop them to zero just blank them

• -v, --violin-comparison - Use a violin plot for comparing multiple profiles

• --log-level LOG_LEVEL, --ll LOG_LEVEL - Define the logging verbosity level (debug, info, warning, error, fotal, critical). (default: info)