[jvm-packages] Require vanilla Apache Spark (#3854)
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@ -58,9 +58,11 @@ For sbt, please add the repository and dependency in build.sbt as following:
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If you want to use XGBoost4J-Spark, replace ``xgboost4j`` with ``xgboost4j-spark``.
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.. note:: XGBoost4J-Spark requires Spark 2.3+
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.. note:: XGBoost4J-Spark requires Apache Spark 2.3+
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XGBoost4J-Spark now requires Spark 2.3+. Latest versions of XGBoost4J-Spark uses facilities of `org.apache.spark.ml.param.shared` extensively to provide for a tight integration with Spark MLLIB framework, and these facilities are not fully available on earlier versions of Spark.
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XGBoost4J-Spark now requires **Apache Spark 2.3+**. Latest versions of XGBoost4J-Spark uses facilities of `org.apache.spark.ml.param.shared` extensively to provide for a tight integration with Spark MLLIB framework, and these facilities are not fully available on earlier versions of Spark.
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Also, make sure to install Spark directly from `Apache website <https://spark.apache.org/>`_. **Upstream XGBoost is not guaranteed to work with third-party distributions of Spark, such as Cloudera Spark.** Consult appropriate third parties to obtain their distribution of XGBoost.
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Installation from maven repo
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============================
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@ -61,9 +61,13 @@ and then refer to the snapshot dependency by adding:
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<version>next_version_num-SNAPSHOT</version>
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</dependency>
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.. note:: XGBoost4J-Spark requires Spark 2.3+
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.. note:: XGBoost4J-Spark requires Apache Spark 2.3+
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XGBoost4J-Spark now requires Spark 2.3+. Latest versions of XGBoost4J-Spark uses facilities of `org.apache.spark.ml.param.shared` extensively to provide for a tight integration with Spark MLLIB framework, and these facilities are not fully available on earlier versions of Spark.
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XGBoost4J-Spark now requires **Apache Spark 2.3+**. Latest versions of XGBoost4J-Spark uses facilities of `org.apache.spark.ml.param.shared` extensively to provide for a tight integration with Spark MLLIB framework, and these facilities are not fully available on earlier versions of Spark.
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Also, make sure to install Spark directly from `Apache website <https://spark.apache.org/>`_. **Upstream XGBoost is not guaranteed to work with third-party distributions of Spark, such as Cloudera Spark.** Consult appropriate third parties to obtain their distribution of XGBoost.
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Installation from maven repo
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.. note:: Use of Python in XGBoost4J-Spark
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