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Author:
Jonathan Chassot
License:
MIT
Summary:
model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure (Hansen, Lunde, and Nason, 2011), a statistical method for comparing and selecting models based on their performance.
Latest version:
0.1.3
Required dependencies:
numba
|
numpy
|
pandas
|
tqdm
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