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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
code_to_translation
called by 12
eval/visualize_claims_embeddings.py
add
called by 12
eval/icd9.py
get_CUI_to_description
called by 6
eval/ndfrt_analysis.py
generate_overlapping_sets
called by 6
eval/ndfrt_analysis.py
evaluate_result
called by 6
eval/ndfrt_analysis.py
get_nn_analysis
called by 3
eval/ndfrt_analysis.py
get_all_target_neighbors
called by 3
eval/ndfrt_analysis.py
get_all_target_analogies
called by 3
eval/ndfrt_analysis.py
Shape
Function
38
Method
17
Class
2
Languages
Python
100%
Modules
by API surface
eval/ndfrt_analysis.py
23 symbols
eval/icd9.py
19 symbols
eval/codes_analysis.py
9 symbols
eval/visualize_stanford_embeddings.py
3 symbols
eval/visualize_claims_embeddings.py
3 symbols
For agents
$
claude mcp add embeddings \ -- python -m otcore.mcp_server <graph>
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