From e32c71734b90ded339df3a48ae8698c4ad9e02b4 Mon Sep 17 00:00:00 2001 From: Henrik Andersson Date: Fri, 15 Sep 2023 08:12:08 +0200 Subject: [PATCH] Update README.md --- README.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 5b14ef2..a744c7b 100644 --- a/README.md +++ b/README.md @@ -12,15 +12,14 @@ Sensors often provide faulty or missing observations. These anomalies must be de This package aims to provide examples and algorithms for detecting anomalies in time series data specifically tailored to DHI users and the water domain. It is simple to install and deploy operationally and is accessible to everyone (open-source). -## ✨ [Active learning web application](https://ts-outlier-detection.streamlit.app/) ✨ - -Please try the newly developed prototype web application for active learning (human in the loop). It is possible to test a version currently running in the Streamlit cloud: +## [Active learning web application](https://github.com/DHI/tsod/blob/main/tsod/active_learning/) The web application is developed using [Streamlit](https://streamlit.io/). All requirements needed to run this application can be found [here](https://github.com/DHI/tsod/blob/main/.devcontainer/Dockerfile). ![](images/active_learning_app.png) + ## Getting Started * [Documentation](https://dhi.github.io/tsod/getting_started.html)