Skip to content

Optimization of data initialization for large sparce datasets #3074

Optimization of data initialization for large sparce datasets

Optimization of data initialization for large sparce datasets #3074

Triggered via pull request January 29, 2026 09:49
Status Success
Total duration 9m 31s
Artifacts

misc.yml

on: pull_request
Configure variables for CI
8s
Configure variables for CI
Test Google C++ unittest (CPU Non-OMP)
5m 50s
Test Google C++ unittest (CPU Non-OMP)
Test installing XGBoost lib + building the C API demo
8m 39s
Test installing XGBoost lib + building the C API demo
Build 32-bit (i386)
2m 51s
Build 32-bit (i386)
Build docs for JVM packages
7m 6s
Build docs for JVM packages
Build docs for the R package
5m 27s
Build docs for the R package
Trigger Read The Docs build
10s
Trigger Read The Docs build
Fit to window
Zoom out
Zoom in

Annotations

4 warnings
Configure variables for CI
Your docker password is not masked. See https://github.com/aws-actions/amazon-ecr-login#docker-credentials for more information.
Test Google C++ unittest (CPU Non-OMP)
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.
Test installing XGBoost lib + building the C API demo
warning libmamba Download error (35) SSL connect error [https://conda.anaconda.org/conda-forge/linux-64/repodata.json.zst] Recv failure: Connection reset by peer warning libmamba Retrying in 2 seconds
Test installing XGBoost lib + building the C API demo
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.