Bayesian Optimization using Gaussian Process Regression
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Release files for GPopt 0.10.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gpopt-0.10.2.tar.gz | 84.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gpopt-0.10.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 170.7 kB
Release files / gpopt-0.10.2.tar.gz
| Download URL | gpopt-0.10.2.tar.gz |
|---|---|
| Size | 84.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / gpopt-0.10.2-py2.py3-none-any.whl
| Download URL | gpopt-0.10.2-py2.py3-none-any.whl |
|---|---|
| Size | 86.2 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
932d852607421ca0854d0150842df8e64959d0be09f9d63efb21502d1e52b4e1
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
