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Fix typo [skip ci] (#7861)

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Jiaming Yuan 2022-05-04 18:34:45 +08:00 committed by GitHub
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doc/jvm/xgboost4j_spark_tutorial.rst
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@ -124,7 +124,7 @@ labels. A DataFrame like this (containing vector-represented features and numeri
.. note:: .. note::
There is no need to assemble feature columns from version 1.6.1+. 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. feature column names by ``setFeaturesCol(value: Array[String])`` and XGBoost4j-Spark will do it.
Dealing with missing values Dealing with missing values
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