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xgboost/jvm-packages/xgboost4j-example
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Jiaming Yuan 43a57c4a85 Bump development version to 2.2. (#10376)
2024-06-04 12:59:16 +08:00
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[jvm-packages] Add the new device parameter. (#9385)
2023-07-17 18:40:39 +08:00
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[DOC-JVM] Refactor JVM docs
2016-03-06 20:42:01 -08:00
pom.xml
Bump development version to 2.2. (#10376)
2024-06-04 12:59:16 +08:00
README.md
Define git attributes for renormalization. (#8921)
2023-03-16 02:43:11 +08:00

README.md

XGBoost4J Code Examples

Java API

  • Basic walkthrough of wrappers
  • Customize loss function, and evaluation metric
  • Boosting from existing prediction
  • Predicting using first n trees
  • Generalized Linear Model
  • Cross validation
  • Predicting leaf indices
  • External Memory
  • Early Stopping

Scala API

  • Basic walkthrough of wrappers
  • Customize loss function, and evaluation metric
  • Boosting from existing prediction
  • Predicting using first n trees
  • Generalized Linear Model
  • Cross validation
  • Predicting leaf indices
  • External Memory

Spark API

  • Distributed Training with Spark

Flink API

  • Distributed Training with Flink
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