Skip to main content

A GPR library that can work with complex numbers

Project description


A Gaussian Process Regression (GPR) library that can work with complex numbers.


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.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for gpr-complex, version 0.3.1
Filename, size File type Python version Upload date Hashes
Filename, size gpr_complex-0.3.1-py3-none-any.whl (13.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size gpr_complex-0.3.1.tar.gz (11.8 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page