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I uploaded the i2b2 2014 data set (that is, the 2 training sets and the 1 test set per the readme). After turning this to the BRAT format and putting the train, test, valid folders all into 1 data set, I've gone ahead and run the NeuroNer like so:
from neuroner import neuromodel
n2 = neuromodel.NeuroNER(train_model=False, use_pretrained_model=True, dataset_text_folder="./data/newdata", pretrained_model_folder ="./trained_models/i2b2_2014_glove_spacy_bioes")
The code managed to run without any errors and gave me the summary statistics, I just don't understand how I can obtain the model f1 score. Am I missing something?
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