Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
may you help understand where it is written what versions of software from other company you using, for example, xgboost is old version 0.60 or new one 0.71
For bugs or installation issues, please provide the following information.
The more information you provide, the more easily we will be able to offer
help and advice.
Environment info
Operating System:
Compiler:
Package used (python/R/jvm/C++):
xgboost version used:
If installing from source, please provide
The commit hash (git rev-parse HEAD)
Logs will be helpful (If logs are large, please upload as attachment).
If you are using python package, please provide
The python version and distribution
The command to install xgboost if you are not installing from source
If you are using R package, please provide
The R sessionInfo()
The command to install xgboost if you are not installing from source
may you help understand where it is written what versions of software from other company you using, for example, xgboost is old version 0.60 or new one 0.71
For bugs or installation issues, please provide the following information. The more information you provide, the more easily we will be able to offer help and advice.
Environment info
Operating System:
Compiler:
Package used (python/R/jvm/C++):
xgboost
version used:If installing from source, please provide
git rev-parse HEAD
)If you are using python package, please provide
xgboost
if you are not installing from sourceIf you are using R package, please provide
sessionInfo()
xgboost
if you are not installing from sourceSteps to reproduce
1. 2. 3.
What have you tried?
1. 2. 3.