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github.com/charmlab/mace @main

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124 symbols 439 edges 29 files 7 documented · 6%
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

getInputAttributeNames
called by 38
loadData.py
getInputOutputAttributeNames
called by 9
loadData.py
getInputOutputColumns
called by 8
loadData.py
getOneHotAttributesNames
called by 7
loadData.py
getAttributeNames
called by 6
loadData.py
getDictOfSiblings
called by 5
loadData.py
getNonHotAttributesNames
called by 4
loadData.py
getPrettyStringForSampleDictionary
called by 4
generateSATExplanations.py

Shape

Function 91
Method 30
Class 3

Languages

Python100%

Modules by API surface

loadData.py35 symbols
generateSATExplanations.py14 symbols
modelConversion.py13 symbols
analyzeResults.py8 symbols
treeUtils.py6 symbols
_depAnalyzeResults.py6 symbols
loadModel.py5 symbols
_data_main/loadCausalConstraints.py5 symbols
_data_main/fair_adult_data.py4 symbols
utils.py3 symbols
generateMOExplanations.py3 symbols
generateFTExplanations.py3 symbols

For agents

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

⬇ download graph artifact