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github.com/DeepBlueAI/AutoSmart @main

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752 symbols 2,236 edges 32 files 91 documented · 12%
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

gen_feat_name
called by 66
auto_smart/auto_smart/feat_context.py
log
called by 55
auto_smart/auto_smart/util.py
downcast
called by 48
auto_smart/auto_smart/data_tools.py
update_data
called by 39
auto_smart/auto_smart/table/table.py
fit_transform
called by 23
auto_smart/auto_smart/feat/feat.py
get_groupby_cols
called by 20
auto_smart/auto_smart/table/table.py
train
called by 10
auto_smart/auto_smart/automl/automl.py

Shape

Function 354
Method 298
Class 91
Route 9

Languages

Python54%
C46%

Modules by API surface

auto_smart/ac.c345 symbols
auto_smart/auto_smart/feat/default_feat.py157 symbols
auto_smart/auto_smart/preprocessor/preprocessor.py34 symbols
auto_smart/auto_smart/feat/default_merge_feat.py22 symbols
auto_smart/auto_smart/table/table.py21 symbols
auto_smart/auto_smart/model_input.py21 symbols
auto_smart/auto_smart/feat_engine.py20 symbols
auto_smart/auto_smart/feat/merge_feat.py20 symbols
auto_smart/auto_smart/automl/auto_lgb.py19 symbols
auto_smart/auto_smart/table/graph.py14 symbols
auto_smart/auto_smart/feat/feat_selection.py13 symbols
auto_smart/auto_smart/util.py8 symbols

For agents

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

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