bayesian-gp-cvloss
A Python package for Gaussian Process Regression with hyperparameter optimization using Hyperopt and cross-validation, focusing on optimizing cross-validated loss.
- Latest release
- May 17, 2026
- Releases
- 10
- Known CVEs
- 0
- First release
- May 26, 2025
- License
- MIT
Repository
Source
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Insights
Activity
- Total releases
- 10
- Last 12 months
- 5
- Cadence
- ~daily
- Dependencies
- 5
Releases per month
last 12 monthsRelease mix
- minor 2
- patch 7
10
releases
Dependencies
Depends on
0.3.1-
gpflow
>=2.0.0
-
hyperopt
>=0.2.0
-
numpy
>=1.18.0
-
pandas
>=1.0.0
-
scikit-learn
>=0.23.0
Used by
1Releases
| Version | Released | |
|---|---|---|
0.3.1
patch
| ||
0.3.0
minor
| ||
0.2.0
minor
| ||
0.1.7
patch
| ||
0.1.6
patch
| ||
0.1.5
patch
| ||
0.1.4
patch
| ||
0.1.3
patch
| ||
0.1.2
patch
| ||
0.1.1
initial
|