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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
build_model
called by 1
chainer/predictor_dae.py
get_oof
called by 1
chainer/predictor_dae.py
get_oof
called by 1
chainer/lgb-compare.py
get_oof
called by 1
chainer/lgb-join-huge.py
train_all
called by 1
chainer/lgb-join-huge.py
ll
called by 1
chainer/lgb-join-huge.py
train_all
called by 0
chainer/lgb-compare.py
lr_drop
called by 0
chainer/dae_1500_adam.py
Shape
Function
12
Method
6
Class
3
Languages
Python
100%
Modules
by API surface
chainer/predictor_dae.py
5 symbols
chainer/dae_1500_sgd.py
5 symbols
chainer/dae_1500_adam.py
5 symbols
chainer/lgb-join-huge.py
3 symbols
chainer/lgb-compare.py
2 symbols
chainer/swap_noise.py
1 symbols
For agents
$
claude mcp add kaggle-dae \ -- python -m otcore.mcp_server <graph>
⬇ download graph artifact