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github.com/brightmart/multi-label_classification @main

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165 symbols 362 edges 9 files 140 documented · 85%
What it actually does AI analysis from the code graph — generated when you open this
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Core symbols most depended-on inside this repo

_read_tsv
called by 17
run_classifier.py
create_initializer
called by 10
bert/modeling.py
get_shape_list
called by 9
bert/modeling.py
create_int_feature
called by 5
run_classifier.py
predict
called by 4
main.py
convert_by_vocab
called by 4
bert/tokenization.py
tokenize
called by 4
bert/tokenization.py
dropout
called by 4
bert/modeling.py

Shape

Method 79
Function 66
Class 20

Languages

Python100%

Modules by API surface

run_classifier.py63 symbols
bert/modeling.py30 symbols
bert/tokenization.py27 symbols
zuo/run_classifier_predict_online.py23 symbols
zuo/generate_training_data.py6 symbols
bert/optimization_finetuning.py6 symbols
main.py5 symbols
zuo/util.py3 symbols
zuo/predict_similarity.py2 symbols

For agents

$ claude mcp add multi-label_classification \
  -- python -m otcore.mcp_server <graph>

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