# README

> For a prettier version of this guide, you can visit our [\[GitBook | ML-Logger Examples\]](http://geyang.gitbook.io/ml-logger-examples/)

This repo contains live examples for analyzing and visualizing learning curves using the ML-Logger `read_metrics` API.

1. [**Loading and Plotting A Single Learning Curve**](https://geyang.gitbook.io/ml-logger-examples/broken-reference)   
2. [**Comparing Two Learning Curves Side-by-side**](https://geyang.gitbook.io/ml-logger-examples/02_train_vs_eval)   
3. [**Facet and Grouping**](https://geyang.gitbook.io/ml-logger-examples/03_all_methods)   
4. [**Results Over All Domains**](https://geyang.gitbook.io/ml-logger-examples/04_all_domains)   

## Appendix

1. [**Download from Server**](https://geyang.gitbook.io/ml-logger-examples/appendix/00_download_from_server)