Python library with tools for classifier calibration.
Project description
Python library for classifier calibration
Unittest
` python3.6 -m unittest discover pycalib/ `
Install as a submodule
Create a folder in your project in which to place your submodules
` mkdir lib `
Then add this package as a submodule
` git submodule add git@github.com:perellonieto/PyCalib.git lib/PyCalib `
then install into your virtual environment
` pip install -e lib/PyCalib `
If you want to use your current virtual environment in a Jupyter notebook you can create a new kernel with
` python -m ipykernel install --user --name NameOfThisKernel --display-name "NameOfThisKernel" `
Upload to PyPi
Create the files to distribute
` python3.6 setup.py sdist `
Ensure twine is installed
` pip install twine `
Upload the distribution files
` twine upload dist/* `
It may require user and password if these are not set in your home directory a file __.pypirc__
` [pypi] username = __token__ password = pypi-yourtoken `
Check the README file for Pypi
In order to check that the readme file is compliant with Pypi standards, install the following Python package
` pip install readme-renderer `
and run the following command
` twine check dist/* `
Contributors
This code has been adapted by Miquel from several previous codes. The following is a list of people that has been involved in some parts of the code.
Miquel Perello Nieto
Hao Song
Telmo Silva Filho
Markus Kängsepp
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.