I have a multiple runs with a varying hyperparameter (for simplicities sake: number of training samples).
I would like to plot the mean and standard deviation of the accuracy after finished training in relationship to the number of training samples used.
| ---------- x
| ------ x
_____________ x-axis = training samples from config
Currently I only see wandb reports being able to plot metrics against their time/step stamp.
Weave is a possibility but even afters years of matplotlib use I haven’t figured out how to use weave as I can’t find a understandable documentation.
Exporting the data to a Jupyter notebook is also a possibility which I have done, but it sort of undermines the purpose of wandb for quick run comparison and visualization as it includes laborious fiddling with matplotlib.
Any help on how to use config values on the x-axis of plots is greatly appreciated.