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

NaN issue when multi-target regression #6

Open
atwahsz opened this issue Nov 5, 2021 · 5 comments
Open

NaN issue when multi-target regression #6

atwahsz opened this issue Nov 5, 2021 · 5 comments

Comments

@atwahsz
Copy link

atwahsz commented Nov 5, 2021

the autoxgb study does not launch when one of the targets is missing .

is there anywork around ?

@abhishekkrthakur
Copy link
Owner

Why would anyone have missing targets in training data? :)

@atwahsz
Copy link
Author

atwahsz commented Nov 5, 2021

not completely missing . some rows will have 2 targets and one target is Nan . ideally that row is eliminated for the third target. if a single target model is built

@abhishekkrthakur
Copy link
Owner

The target should never be missing. If the target is missing, you need to handle them before inputting to autoxgb. Not just xgboost, any model will fail if targets are missing :)

@INF800
Copy link

INF800 commented Nov 7, 2021

Are we using any kind of transformations on target variables? For example if we have skewed log normal distribution basic convention would be to apply log transformation

@abhishekkrthakur
Copy link
Owner

no. There is no transformation of target variables.

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

3 participants