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Author:
Shifa Zhong
Summary:
A Python package for Gaussian Process Regression with hyperparameter optimization using Hyperopt and cross-validation, focusing on optimizing cross-validated loss.
Latest version:
0.3.1
Required dependencies:
gpflow
|
hyperopt
|
numpy
|
pandas
|
scikit-learn
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