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Merge pull request #147 from arvkevi/bugfix/update_workflow
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Bugfix/update workflow
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arvkevi committed Jul 12, 2023
2 parents 01c2aab + d2252bd commit ea2f90f
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4 changes: 1 addition & 3 deletions .github/workflows/tests.yml
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name: Unit tests and coverage

on: [push, workflow_dispatch, pull_request_target]
on: [push, workflow_dispatch, pull_request]

jobs:
build:
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uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
ref: ${{ github.ref }}
token: ${{ secrets.CODECOV_TOKEN }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
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2 changes: 1 addition & 1 deletion README.md
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# kneed
Knee-point detection in Python

[![Downloads](https://pepy.tech/badge/kneed)](https://pepy.tech/project/kneed) [![Downloads](https://pepy.tech/badge/kneed/week)](https://pepy.tech/project/kneed) ![Dependents](https://badgen.net/github/dependents-repo/arvkevi/kneed/?icon=github) [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/arvkevi/ikneed/main/ikneed.py) [![Build Status](https://travis-ci.com/arvkevi/kneed.svg?branch=main)](https://travis-ci.com/arvkevi/kneed) [![codecov](https://codecov.io/gh/arvkevi/kneed/branch/main/graph/badge.svg)](https://codecov.io/gh/arvkevi/kneed)[![DOI](https://zenodo.org/badge/113799037.svg)](https://zenodo.org/badge/latestdoi/113799037)
[![Downloads](https://pepy.tech/badge/kneed)](https://pepy.tech/project/kneed) [![Downloads](https://pepy.tech/badge/kneed/week)](https://pepy.tech/project/kneed) ![Dependents](https://badgen.net/github/dependents-repo/arvkevi/kneed/?icon=github) [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/arvkevi/ikneed/main/ikneed.py) [![codecov](https://codecov.io/gh/arvkevi/kneed/branch/main/graph/badge.svg)](https://codecov.io/gh/arvkevi/kneed)[![DOI](https://zenodo.org/badge/113799037.svg)](https://zenodo.org/badge/latestdoi/113799037)


This repository is an attempt to implement the kneedle algorithm, published [here](https://www1.icsi.berkeley.edu/~barath/papers/kneedle-simplex11.pdf). Given a set of `x` and `y` values, `kneed` will return the knee point of the function. The knee point is the point of maximum curvature.
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