Plot metrics from a Topaz training run
Project description
topaztrainmetrics
Plot metrics from a Topaz training run.
Installation
$ pip install topaztrainmetrics
Usage
$ topaztrainmetrics --help
Usage: topaztrainmetrics [OPTIONS] <file>
Plot validation metrics from a Topaz training run.
<file> is the results.txt file from standalone Topaz or the
model_plot.star file from Topaz run within RELION.
Options:
-l, --loss Plot loss.
-g, --gepenalty Plot GE penalty.
-p, --precision Plot precision.
-t, --tpr Plot true/false positive rates.
-c, --auprc Plot area under precision/recall curve (default).
-x, --xaxis [iter|epoch] X axis (iter or epoch; default: iter).
-o, --output TEXT File name to save the plot (optional: with no file
name, simply display plot on screen without saving
it; recommended file formats: .png, .pdf, .svg or
any format supported by matplotlib).
-h, --help Show this message and exit.
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