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.

Sign up for GitHub

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

Jump to bottom

Consider num_class parameter to be optional #17

Open
javierluraschi opened this issue Jun 2, 2019 · 0 comments
Open

Consider num_class parameter to be optional #17

javierluraschi opened this issue Jun 2, 2019 · 0 comments

Comments

@javierluraschi
Copy link
Contributor

Should be possible to scan the input dataset to compute num_class rather than making users specify it. In general, finding this should be much cheaper than running xgboost and still users can specify num_class if they want the performance improvement.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@javierluraschi