Integrate XGBoost in Sparkling Water
Description
We want to have H2O's XGBoost available in SW as well. XGBoost should be exposed just like the other algos.
We will have to document how to set memory requirements and configure Spark. XGBoost will allocate off-heap memory, this is an issue on Hadoop and the containers need to get proper memory configuration.
It would be good to have (real-life deployment) tests of this functionality because integrating XGBoost can be tricky.
Activity
Show:
Jakub Hava
August 7, 2018, 8:12 PM
Edited
Sure!, at this point I think it just requires testing it out and documenting the memory config as you mentioned. People can use it the same way as they are used to in H2O.
We can also expose the XGBoost as Sparkling Water pipeline Stage, but I would put that into another JIRA
Michal Kurka
August 7, 2018, 8:08 PM
can you please plan this into a release?
Michal Kurka
August 7, 2018, 8:07 PM
cc:
Fixed
Assignee
Reporter
Labels
None
CustomerVisible
No
testcase 1
None
testcase 2
None
testcase 3
None
h2ostream link
None
Affected Spark version
None
AffectedContact
None
AffectedCustomers
None
AffectedPilots
None
AffectedOpenSource
None
Support Assessment
None
Customer Request Type
None
Support ticket URL
None
End date
None
Baseline start date
None
Baseline end date
None
Task progress
None
Task mode
None
ReleaseNotesHidden
None
Priority
