Skip to content
This repository has been archived by the owner on Nov 8, 2022. It is now read-only.

Training accuracies as weights for ensemble in supervised_sentiment? #29

Closed
hoonkai opened this issue Jan 28, 2019 · 1 comment
Closed
Assignees
Labels
question Further information is requested Stale

Comments

@hoonkai
Copy link

hoonkai commented Jan 28, 2019

Target objective:

Creating an ensemble using weights

Question

Looking at https://github.com/NervanaSystems/nlp-architect/blob/master/examples/supervised_sentiment/example_ensemble.py#L96-L97 how come the ensemble weights are training accuracies rather than validation accuracies? If the difference between acc and val_acc is great, wouldn't the ensemble overfit the training set?

@peteriz peteriz added the question Further information is requested label Mar 11, 2019
@github-actions
Copy link

Issue marked as stale, closing.

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
question Further information is requested Stale
Projects
None yet
Development

No branches or pull requests

3 participants