Skip to content

Commit e8a9647

Browse files
authored
Merge pull request #8 from automl/dev
Update README.md
2 parents 0d3b44c + a1d4c61 commit e8a9647

1 file changed

Lines changed: 4 additions & 4 deletions

File tree

README.md

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,10 +1,10 @@
11
# HyperSHAP <img src="https://raw.githubusercontent.com/automl/hypershap/main/docs/source/_static/logo/hypershap-logo.png" alt="HyperSHAP Logo" align="right" height="200px"/>
22

33
[![Release](https://img.shields.io/github/v/release/automl/HyperSHAP)](https://img.shields.io/github/v/release/automl/hypershap)
4-
[![Build status](https://img.shields.io/github/actions/workflow/status/automl/HyperSHAP/main.yml?branch=main)](https://github.com/automl/HyperSHAP/actions/workflows/main.yml?query=branch%3Amain)
5-
[![codecov](https://codecov.io/gh/automl/HyperSHAP/branch/main/graph/badge.svg)](https://codecov.io/gh/automl/HyperSHAP)
6-
[![Commit activity](https://img.shields.io/github/commit-activity/m/automl/HyperSHAP)](https://img.shields.io/github/commit-activity/m/automl/HyperSHAP)
7-
[![License](https://img.shields.io/github/license/automl/HyperSHAP)](https://img.shields.io/github/license/automl/HyperSHAP)
4+
[![Build status](https://img.shields.io/github/actions/workflow/status/automl/hypershap/main.yml?branch=main)](https://github.com/automl/hypershap/actions/workflows/main.yml?query=branch%3Amain)
5+
[![codecov](https://codecov.io/gh/automl/hypershap/branch/main/graph/badge.svg)](https://codecov.io/gh/automl/hypershap)
6+
[![Commit activity](https://img.shields.io/github/commit-activity/m/automl/hypershap)](https://img.shields.io/github/commit-activity/m/automl/hypershap)
7+
[![License](https://img.shields.io/github/license/automl/hypershap)](https://img.shields.io/github/license/automl/hypershap)
88

99
HyperSHAP – a game‑theoretic Python library for explaining Hyperparameter Optimization (HPO). It uses Shapley values and interaction indices to provide both local and global insights into how individual hyper‑parameters (and their interactions) affect a model’s performance.
1010

0 commit comments

Comments
 (0)