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

fit function completes much faster than predict, is this normal? #46

Open
kotoroshinoto opened this issue Oct 26, 2023 · 1 comment
Open

Comments

@kotoroshinoto
Copy link

Was attempting to train a classification model on scikit-eLCS. In addition to not placing any rows in one of the two output classes, I noticed the training finished much faster than the prediction function.

That doesn't smell right to me, but I figured I should ask.

@ryanurbs
Copy link
Member

I have noticed some odd behavior with this implementation on certain datasets, but we have not had a chance to track down if there is a bug or this is just part of the limited performance of eLCS as a very basic LCS algorithm. I hope to revisit it in the future, but not entirely sure when that will be.

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