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Two issues, bundled together here because they make sense:
jams.eval
These two can play nicely together if the index of the dataframe is drawn from estimate annotation. This way, you could do something like
results_df = jams.eval.chord(ref_ann, est_ann1, est_ann2, est_ann3, dataframe=True)
And get a nice table of results to make comparison easy.
The text was updated successfully, but these errors were encountered:
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Two issues, bundled together here because they make sense:
jams.eval
could automatically convert the results dict into a dataframes.These two can play nicely together if the index of the dataframe is drawn from estimate annotation. This way, you could do something like
And get a nice table of results to make comparison easy.
The text was updated successfully, but these errors were encountered: