How to Compare Groups of Runs and Identify the Best Performing Ones
- mins read
- Updated April 29th, 2022
What will you learn?
How you can compare groups of runs and identify the best performing runs in your Neptune project.
-
00:25
How to compare different runs?
-
01:14
Using the Project Views to filter and compare runs
-
02:29
You can sort runs by the metadata column (i.e. accuracy)
-
02:55
You can group runs by the metadata column (i.e. optimizer)
-
04:05
You can compare runs through the learning curves
-
05:22
Using the Parallel Coordinate Plots to compare runs
-
06:46
Using the Side-by-Side to compare runs
-
07:12
Using the Project-level Custom Dashboards to compare runs
Read the documentation
Couldn’t find the use case you were looking for?
Just get in touch and our ML team will
create a custom demo for you