ml.dmlc.xgboost4j.scala.flink

XGBoostModel

Related Doc: package flink

class XGBoostModel extends Serializable

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Instance Constructors

  1. new XGBoostModel(booster: Booster)

Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  8. def finalize(): Unit

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  9. final def getClass(): Class[_]

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  11. final def isInstanceOf[T0]: Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def predict(data: DataSet[Vector]): DataSet[Array[Float]]

    Predict given vector dataset.

    Predict given vector dataset.

    data

    The dataset to be predicted.

    returns

    The prediction result.

  16. def predict(testSet: DMatrix): Array[Array[Float]]

    predict with the given DMatrix

    predict with the given DMatrix

    testSet

    the local test set represented as DMatrix

    returns

    prediction result

  17. def saveModelAsHadoopFile(modelPath: String): Unit

    Save the model as a Hadoop filesystem file.

    Save the model as a Hadoop filesystem file.

    modelPath

    The model path as in Hadoop path.

  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toString(): String

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  20. final def wait(): Unit

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  22. final def wait(arg0: Long): Unit

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