added
Experiment aggregate metrics
3 months ago by Cormick Marskamp
With the new Experiment aggregate metrics, you can do a much more accurate comparison between models and/or configurations.
These filters are crucial when doing large Experiments. The heatmap still provides you with a quick glance at what the differences are, but the filter allows you to make a more precise comparison.
The filter includes the sum, average, median, min, max, range, and standard deviation.
![](https://files.readme.io/5a70fd8-filter_experiments_720p30fps.gif)