[FEAT] Time elapsed for training and inference #101
Reference in New Issue
Block a user
Delete Branch "%!s()"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
Problem Statement
Currently, there is no systematic way to report or compare the time taken by different algorithms/models during both training and inference. This makes it difficult to evaluate and select models based on their efficiency.
Proposed Solution
Integrate timing measurement utilities in both the training and inference stages. Automatically log and report the elapsed time for each model/algorithm, and present the results in a comparative format (such as a table or chart).
Alternatives Considered
No response
Component
Jupyter Notebook
Priority
High (significantly improves workflow)
Implementation Ideas
No response
Expected Benefits
This will allow for objective and consistent comparison between algorithms/models, making it easier to select the most efficient option for deployment and reporting in the thesis.
Additional Context
No response