Fixed calibration_curve's normalize deprecated in sklearn #77

	name: CI & Upload to Pypi.org

	on:
	release:
	types: [created]
	push:
	paths:
	- '**/version.py'
	- '!.github/**'

	jobs:
	deploy:
	runs-on: ubuntu-latest

	steps:
	- uses: actions/checkout@v2
	- name: Set up Python 3.6
	uses: actions/setup-python@v1
	with:
	python-version: '3.6'
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt
	- name: Lint with flake8
	run: \|
	pip install flake8
	# stop the build if there are Python syntax errors or undefined names
	flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
	# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
	flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
	- name: Test with pytest
	run: \|
	pip install pytest
	pytest
	# Now deploy pn pypi
	- name: Set up Python
	uses: actions/setup-python@v1
	with:
	python-version: '3.x'
	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install setuptools wheel twine
	- name: Build and publish
	env:
	TWINE_USERNAME: ${{ secrets.SECRET1 }}
	TWINE_PASSWORD: ${{ secrets.SECRET2 }}
	run: \|
	python setup.py sdist bdist_wheel
	twine upload dist/*

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