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Author:
Clémence Réda
Summary:
Package for Joint Embedding-classifier Learning for Interpretability. Learns feature/item/user embeddings with specific structures, recommends new item-user associations and provides feature importance scores.
Latest version:
1.0.2
Required dependencies:
igraph
|
numpy
|
pykeen
|
qnorm
|
scikit-learn
|
scipy
|
stanscofi
|
statsmodels
|
torch
|
torch_geometric
|
tqdm
|
typing_extensions
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