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Binary classifier to identify scientific publications reporting pharmacokinetic parameters estimated in vivo

Home Page: https://pkpdai.com/pkdocsearch

License: MIT License

Python 92.36% Jupyter Notebook 7.64%
bionlp pharmacokinetics nlp machine-learning pharmacometrics bioinformatics document-classification

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pkdocclassifier's Issues

Error running `Bootstrap n-grams`

Issue #1:

Running section 3.1.3, README.md

python scripts/bootstrap_bow.py \
   --input-dir data/encoded/ngrams \
   --output-dir data/results/ngrams \
   --output-dir-bootstrap data/results/ngrams/bootstrap \
   --path-labels data/labels/dev_data.csv

causes AssertionError from pk_classifier/bootstrap.py, line 95:

assert features['pmid'].equals(labs['pmid'].astype('int32'))

Screen Shot 2021-02-08 at 14 55 21

Cause: inappropriate --path-labels input
Proposed change: dev_data.csv--> test_data.csv (README, section 3.1.3)

Issue #2:

After fixing Issue #1, the same error occurred. Upon closer inspection, it is appeared that features['pmid'] and labs['pmid'] are actually equal in values, but not in dtype

Screen Shot 2021-02-08 at 14 55 21 copy 2

Proposed change: convert either of 2 variables to the other's dtype, e.g: in pk_classifier/bootstrap.py, change line 95 from:

assert features['pmid'].equals(labs['pmid'])

to

assert features['pmid'].equals(labs['pmid'].astype('int32'))

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