Inconsistency in libsvm formats (#1325)
* Inconsistency in libsvm formats * note on libsvm formats
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You can find more about XGBoost on [Documentation](https://xgboost.readthedocs.org/en/latest/jvm/index.html) and [Resource Page](../demo/README.md).
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You can find more about XGBoost on [Documentation](https://xgboost.readthedocs.org/en/latest/jvm/index.html) and [Resource Page](../demo/README.md).
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## Hello World
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## Hello World
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*NOTE*: Use **1-based** ascending indexes for libsvm format in distributed training mode:
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- Spark does the internal conversion, and do not accept formats that are 0-based
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- WHEREAS - use **0-based** indexes format when predicting (for instance using the saved model in the Python package) in normal mode
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### XGBoost Scala
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### XGBoost Scala
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```scala
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```scala
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import ml.dmlc.xgboost4j.scala.DMatrix
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import ml.dmlc.xgboost4j.scala.DMatrix
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