xgboost4j-flink_2.12 1.1.1 API < Back
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# Packages

-  package root
  Definition Classes
    root
-  package ml
  Definition Classes
    root
-  package dmlc
  Definition Classes
    ml
-  package xgboost4j
  Definition Classes
    dmlc
-  package scala
  Definition Classes
    xgboost4j
-  package flink
  Definition Classes
    scala
- XGBoost
- XGBoostModel

c

ml.dmlc.xgboost4j.scala.flink

# XGBoostModel 

###

#### class XGBoostModel extends Serializable

Linear Supertypes
Serializable, Serializable, AnyRef, Any
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1. XGBoostModel
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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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3.  final def ==(arg0: Any): Boolean
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4.  final def asInstanceOf[T0]: T0
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5.  def clone(): AnyRef
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6.  final def eq(arg0: AnyRef): Boolean
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7.  def equals(arg0: Any): Boolean
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8.  def finalize(): Unit
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9.  final def getClass(): Class[_]
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10.  def hashCode(): Int
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11.  final def isInstanceOf[T0]: Boolean
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12.  final def ne(arg0: AnyRef): 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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21.  final def wait(arg0: Long, arg1: Int): Unit
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22.  final def wait(arg0: Long): Unit
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### Inherited from Serializable

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