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Define git attributes for renormalization. (dmlc#8921)
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‎.gitattributes

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*.c text eol=lf
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*.cuh text eol=lf
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*.cu text eol=lf
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‎jvm-packages/xgboost4j-example/README.md

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XGBoost4J Code Examples
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=======================
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## Java API
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* [Basic walkthrough of wrappers](src/main/java/ml/dmlc/xgboost4j/java/example/BasicWalkThrough.java)
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* [Customize loss function, and evaluation metric](src/main/java/ml/dmlc/xgboost4j/java/example/CustomObjective.java)
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* [Boosting from existing prediction](src/main/java/ml/dmlc/xgboost4j/java/example/BoostFromPrediction.java)
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* [Predicting using first n trees](src/main/java/ml/dmlc/xgboost4j/java/example/PredictFirstNtree.java)
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* [Generalized Linear Model](src/main/java/ml/dmlc/xgboost4j/java/example/GeneralizedLinearModel.java)
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* [Cross validation](src/main/java/ml/dmlc/xgboost4j/java/example/CrossValidation.java)
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* [Predicting leaf indices](src/main/java/ml/dmlc/xgboost4j/java/example/PredictLeafIndices.java)
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* [External Memory](src/main/java/ml/dmlc/xgboost4j/java/example/ExternalMemory.java)
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* [Early Stopping](src/main/java/ml/dmlc/xgboost4j/java/example/EarlyStopping.java)
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## Scala API
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* [Basic walkthrough of wrappers](src/main/scala/ml/dmlc/xgboost4j/scala/example/BasicWalkThrough.scala)
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* [Customize loss function, and evaluation metric](src/main/scala/ml/dmlc/xgboost4j/scala/example/CustomObjective.scala)
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* [Boosting from existing prediction](src/main/scala/ml/dmlc/xgboost4j/scala/example/BoostFromPrediction.scala)
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* [Predicting using first n trees](src/main/scala/ml/dmlc/xgboost4j/scala/example/PredictFirstNTree.scala)
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* [Generalized Linear Model](src/main/scala/ml/dmlc/xgboost4j/scala/example/GeneralizedLinearModel.scala)
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* [Cross validation](src/main/scala/ml/dmlc/xgboost4j/scala/example/CrossValidation.scala)
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* [Predicting leaf indices](src/main/scala/ml/dmlc/xgboost4j/scala/example/PredictLeafIndices.scala)
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* [External Memory](src/main/scala/ml/dmlc/xgboost4j/scala/example/ExternalMemory.scala)
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## Spark API
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* [Distributed Training with Spark](src/main/scala/ml/dmlc/xgboost4j/scala/example/spark/SparkMLlibPipeline.scala)
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## Flink API
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* [Distributed Training with Flink](src/main/scala/ml/dmlc/xgboost4j/scala/example/flink/DistTrainWithFlink.scala)
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XGBoost4J Code Examples
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=======================
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## Java API
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* [Basic walkthrough of wrappers](src/main/java/ml/dmlc/xgboost4j/java/example/BasicWalkThrough.java)
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* [Customize loss function, and evaluation metric](src/main/java/ml/dmlc/xgboost4j/java/example/CustomObjective.java)
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* [Boosting from existing prediction](src/main/java/ml/dmlc/xgboost4j/java/example/BoostFromPrediction.java)
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* [Predicting using first n trees](src/main/java/ml/dmlc/xgboost4j/java/example/PredictFirstNtree.java)
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* [Generalized Linear Model](src/main/java/ml/dmlc/xgboost4j/java/example/GeneralizedLinearModel.java)
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* [Cross validation](src/main/java/ml/dmlc/xgboost4j/java/example/CrossValidation.java)
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* [Predicting leaf indices](src/main/java/ml/dmlc/xgboost4j/java/example/PredictLeafIndices.java)
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* [External Memory](src/main/java/ml/dmlc/xgboost4j/java/example/ExternalMemory.java)
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* [Early Stopping](src/main/java/ml/dmlc/xgboost4j/java/example/EarlyStopping.java)
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## Scala API
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* [Basic walkthrough of wrappers](src/main/scala/ml/dmlc/xgboost4j/scala/example/BasicWalkThrough.scala)
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* [Customize loss function, and evaluation metric](src/main/scala/ml/dmlc/xgboost4j/scala/example/CustomObjective.scala)
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* [Boosting from existing prediction](src/main/scala/ml/dmlc/xgboost4j/scala/example/BoostFromPrediction.scala)
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* [Predicting using first n trees](src/main/scala/ml/dmlc/xgboost4j/scala/example/PredictFirstNTree.scala)
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* [Generalized Linear Model](src/main/scala/ml/dmlc/xgboost4j/scala/example/GeneralizedLinearModel.scala)
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* [Cross validation](src/main/scala/ml/dmlc/xgboost4j/scala/example/CrossValidation.scala)
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* [Predicting leaf indices](src/main/scala/ml/dmlc/xgboost4j/scala/example/PredictLeafIndices.scala)
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* [External Memory](src/main/scala/ml/dmlc/xgboost4j/scala/example/ExternalMemory.scala)
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## Spark API
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* [Distributed Training with Spark](src/main/scala/ml/dmlc/xgboost4j/scala/example/spark/SparkMLlibPipeline.scala)
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## Flink API
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* [Distributed Training with Flink](src/main/scala/ml/dmlc/xgboost4j/scala/example/flink/DistTrainWithFlink.scala)

‎jvm-packages/xgboost4j-spark/src/test/resources/rank.test.csv

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