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

How to Use a Custom Scoring Metric? #44

Open
windowshopr opened this issue Jul 14, 2020 · 0 comments
Open

How to Use a Custom Scoring Metric? #44

windowshopr opened this issue Jul 14, 2020 · 0 comments

Comments

@windowshopr
Copy link

Not really an issue, just a general question, but I have made a scoring metric using the fbeta score that looks like this:

my_custom_scorer = make_scorer(fbeta_score, average='binary', zero_division=0, pos_label=1, beta=fbeta_for_scorer, greater_is_better=True)

And I'm wanting to know how I could potentially implement this in Feature Selector. Instead of using eval_metric='auc', is there a way I can rig this to use my metric? I'm not super clear on how LightGBM implements custom scoring metrics, but looks confusing from first glance lol.

Thanks!

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

1 participant