add slim table for ML applications#4376
Merged
fmazzasc merged 4 commits intoAliceO2Group:masterfrom Jan 20, 2024
maciacco:master
Merged
add slim table for ML applications#4376fmazzasc merged 4 commits intoAliceO2Group:masterfrom maciacco:master
fmazzasc merged 4 commits intoAliceO2Group:masterfrom
maciacco:master
Conversation
Please consider the following formatting changes to #4376
maciacco
requested review from
BongHwi,
ChiaraDeMartin95,
alibuild,
chiarapinto,
fmazzasc,
mbombara,
njacazio and
skundu692
as code owners
fmazzasc
approved these changes
Jan 20, 2024
hahassan7
pushed a commit
to hahassan7/O2Physics
that referenced
this pull request
Feb 1, 2024
basiach
pushed a commit
to basiach/O2Physics
that referenced
this pull request
Feb 23, 2024
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
The goal of this data model is to provide slim tables of V0's for ML studies. Only the BDT input columns are stored. The table producer is expected to run on a small fraction of the full statistics.