Hi i am new to raytune , and while trying some example i got stuck at a point
I know that we have to pass a “metric” and “mode” for comparing the results of various trials while hyperparameter tuning process.
I want to compare various trials based on AUROC metric based on “max” mode ,
can you please help me to overwrite the “_metric/val_loss” with AUROC, (i don’t know what modification i have to make for that). Thank you !!
Here i am attaching the colab notebook for your reference
Google colab notebook link
Hey @RIPUVENDRA_SINGH, thanks for the question. I’m not familiar with
pytorch_widedeep, but I took a look at their example and it looks like in their call to
analysis.results all their metrics are being tracked, but in your notebook it looks like it’s missing auroc is missing from
- Perhaps as a first step you can look into seeing why auro isn’t being calculated/returned in the metrics.
- After this, you should be able to change
metric="_metric/val_auroc" (or whatever the produced metric name is).