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License: MIT License
python module for testing neuron finding algorithms
License: MIT License
I think they are flipped, is this true?
Currently the evaluate
method compares two local results to each another, which is useful. But as suggested by @marius10p, sometimes we want the evaluation to incorporate metadata from the "standard" ground truth datasets.
So one idea is to add an extra method, maybe called benchmark
or evaluate-remote
that takes as input ONE set of results, and the name of a ground truth dataset, then fetches both the remote regions and the metadata, and returns the scores.
In other words, we'll have both
neurofinder evaluate a.json b.json
and
neurofinder benchmark 01.00 a.json
Thoughts?
cc @syncrostone
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