dmlc / dmlc/xgboost

Preprocessing within xgb.cv

Open
#5,784 2 comments 0 reactions 0 assignees View on GitHub
cross-validation feature-request
Dominant language
C++
Stars
28.8k
Forks
8.9k
Avg merge
1d 12h
Merged PRs (30d)
54

Description

I think in many cases some tasks like feature selection have to be done on each fold before training process. I guess in Python implementation is fpreproc option for passing function for data preprocessing (I haven't used it though). Can an option to perform preprocessing inside xgb.cv be added in later version?

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.