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

trivialfis · Apr 29, 2022 · f24b592 · f24b592
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diff --git a/doc/jvm/xgboost4j_spark_gpu_tutorial.rst b/doc/jvm/xgboost4j_spark_gpu_tutorial.rst
@@ -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
@@ -220,7 +220,7 @@ application jar is iris-1.0.0.jar
 
   cudf_version=22.02.0
   rapids_version=22.02.0
-  xgboost_version=1.6.0
+  xgboost_version=1.6.1
   main_class=Iris
   app_jar=iris-1.0.0.jar
 

diff --git a/doc/jvm/xgboost4j_spark_tutorial.rst b/doc/jvm/xgboost4j_spark_tutorial.rst
@@ -129,7 +129,7 @@ labels. A DataFrame like this (containing vector-represented features and numeri
 
 .. 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.
 
 Dealing with missing values