diff --git a/README.md b/README.md index 339ca4c7..d39cbb31 100644 --- a/README.md +++ b/README.md @@ -11,19 +11,16 @@

- PyPI + PyPI - PyPI - Python Version - - - PyPI - License + PyPI - Python Version - Read The Docs - Documentation + Read The Docs - Documentation - - Travis - Build + + PyPI - License

@@ -43,6 +40,12 @@ Some examples of how Sequentia can be used in isolated sequence classification i - classifying hand or head gestures from rotation or movement signals, - classifying the sentiment of a phrase or sentence in natural language from word embeddings. +## Build status + +| `master` | `dev` | +| -------- | ------| +| [![Travis Build (Master)](https://img.shields.io/travis/com/eonu/sequentia?logo=travis&style=flat-square)](https://travis-ci.com/github/eonu/sequentia) | [![Travis Build (Development)](https://img.shields.io/travis/com/eonu/sequentia/dev?logo=travis&style=flat-square)](https://travis-ci.com/github/eonu/sequentia) | + ## Features Sequentia provides the following algorithms, all supporting multivariate sequences with different durations.