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Author:
Evan Mason
Summary:
Knockoffs and importances for heterogeneous data with conditional residuals and random forests
Latest version:
0.1.5
Required dependencies:
knockpy
|
numpy
|
pandas
|
polars
|
pyarrow
|
rpy2
|
scikit-learn
|
statsmodels
|
torch
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