A Gaussian Process Regression (GPR) library that can work with complex numbers.
Development
For dependency management and publishing to Pypi we use poetry.
If you want to extend gpr_complex, clone it from the
git repository, run
poetry install to create the virtual environment with the required
dependencies and run pre-commit install to install the commit hooks.
1 maintainer
Metadata
1 maintainer
Release files for gpr-complex 0.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gpr_complex-0.3.1.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gpr_complex-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.6 kB
Release files / gpr_complex-0.3.1.tar.gz
| Download URL | gpr_complex-0.3.1.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.0.5 CPython/3.8.2 Linux/5.6.7-arch1-1
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Release files / gpr_complex-0.3.1-py3-none-any.whl
| Download URL | gpr_complex-0.3.1-py3-none-any.whl |
|---|---|
| Size | 13.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.0.5 CPython/3.8.2 Linux/5.6.7-arch1-1
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