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[doc] improve xgboost4j-spark-gpu doc [skip ci] (#7793)

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Co-authored-by: Sameer Raheja <sameerz@users.noreply.github.com>
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Bobby Wang
2022-04-12 12:02:16 +08:00
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parent 118192f116
commit 4b00c64d96
2 changed files with 39 additions and 34 deletions
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doc/jvm/xgboost4j_spark_tutorial.rst
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@@ -127,6 +127,11 @@ Now, we have a DataFrame containing only two columns, "features" which contains
"sepal length", "sepal width", "petal length" and "petal width" and "classIndex" which has Double-typed
labels. A DataFrame like this (containing vector-represented features and numeric labels) can be fed to XGBoost4J-Spark's training engine directly.
.. note::
There is no need to assemble feature columns from version 1.6.0+. 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
~~~~~~~~~~~~~~~~~~~~~~~~~~~