Comments (2)
The XGBoost taxi jars also use 0.2.3
versioning number
from spark-rapids-examples.
yes, it is a good idea to keep each demo version number consistent, will draft a pr to update
from spark-rapids-examples.
Related Issues (20)
- we need to update doc if spark-rapids support arm CPU architecture
- Data path checking logical problem of XGBoost-PySpark agaricus examples HOT 4
- Update RAPIDS UDF examples to use new interface
- update the versions in main branch
- UDF test cases failed on Databricks 3.1.2 HOT 1
- [BUG] cuspatial python tests failed libtiff.so.5: cannot open shared object file HOT 5
- cuSpatial integration test FAILED with Unsatisfied symbol: null_count() HOT 1
- Stage failed errror when collecting results in Spark Deep Learning inference notebook in Windows OS
- Dead urls in example notebooks for Databricks HOT 1
- Add compile caching to the RAPIDS acclerated UDF examples build setup HOT 1
- Update RAPIDS accelerated UDF examples for static CUDA runtime HOT 3
- Unable to execute spark SQL examples in a Spark Rapids environment HOT 8
- Crash in rmm async allocator in test_java_url_decode HOT 6
- Update native RAPIDS accelerated UDF examples to hide kernel symbol visibility
- Some python and notebook versions of examples have diverged HOT 2
- RAPIDS accelerated UDF examples build environment does not match spark-rapids-jni environment HOT 9
- [BUG] Java symbol lookup error in CICD run HOT 2
- Update Databricks Notebook for Tools 24.02 HOT 1
- The build for native UDF examples is failing HOT 2
- [Doc] add a hyperlink in the readme doc
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