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[doc] update the jvm tutorial to 1.6.1 [skip ci] (#7834)

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Bobby Wang 2022-04-24 14:25:22 +08:00 committed by GitHub
parent 332380479b
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2 changed files with 3 additions and 3 deletions
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4
doc/jvm/xgboost4j_spark_gpu_tutorial.rst
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@ -1,5 +1,5 @@
############################################# #############################################
XGBoost4J-Spark-GPU Tutorial (version 1.6.0+) XGBoost4J-Spark-GPU Tutorial (version 1.6.1+)
############################################# #############################################
**XGBoost4J-Spark-GPU** is an open source library aiming to accelerate distributed XGBoost training on Apache Spark cluster from **XGBoost4J-Spark-GPU** is an open source library aiming to accelerate distributed XGBoost training on Apache Spark cluster from
@ -220,7 +220,7 @@ application jar is iris-1.0.0.jar
cudf_version=22.02.0 cudf_version=22.02.0
rapids_version=22.02.0 rapids_version=22.02.0
xgboost_version=1.6.0 xgboost_version=1.6.1
main_class=Iris main_class=Iris
app_jar=iris-1.0.0.jar app_jar=iris-1.0.0.jar

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doc/jvm/xgboost4j_spark_tutorial.rst
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@ -129,7 +129,7 @@ labels. A DataFrame like this (containing vector-represented features and numeri
.. note:: .. note::
There is no need to assemble feature columns from version 1.6.0+. Instead, users can specify an array of There is no need to assemble feature columns from version 1.6.1+. Instead, users can specify an array of
feture column names by ``setFeaturesCol(value: Array[String])`` and XGBoost4j-Spark will do it. feture column names by ``setFeaturesCol(value: Array[String])`` and XGBoost4j-Spark will do it.
Dealing with missing values Dealing with missing values