Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Result interpretation #26

Open
Kunal-Kumar-Sahoo opened this issue Jun 11, 2024 · 1 comment
Open

Result interpretation #26

Kunal-Kumar-Sahoo opened this issue Jun 11, 2024 · 1 comment

Comments

@Kunal-Kumar-Sahoo
Copy link

Kunal-Kumar-Sahoo commented Jun 11, 2024

Some metrics_i.csv file is being generated for every $i^{th}$ route while training any model. Now each observation record (every $10^{th}$ second) has three dictionaries containing numerical values against each key (which are the junction IDs).

How do I interpret those results? I want to specifically know what these three dictionaries represent?

@jault
Copy link
Collaborator

jault commented Jun 12, 2024

Yea, these ought to have been saved with headers. You can find the definition over here:

for metric in ['step', 'reward', 'max_queues', 'queue_lengths']:

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants