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Daniel CARRON authoredDaniel CARRON authored
experiment.rst 833 B
Running complete experiments
We provide an :ref:`experiment command <mednet.cli>` that runs training, followed by prediction and evaluation. After running, you will be able to find results from model fitting, prediction and evaluation under a single output directory.
For example, to train a pasa model on the montgomery database evaluate its performance and output predictions and performance curves, run the following:
$ mednet experiment -vv pasa montgomery
# check results in the "results" folder
You may run the system on a GPU by using the --device=cuda:0
option.