ml.dmlc.xgboost4j.scala.flink

# XGBoostModel

###
Related Doc: package flink

#### class XGBoostModel extends Serializable

Linear Supertypes
Serializable, Serializable, AnyRef, Any
Ordering

1. Alphabetic
2. By Inheritance

Inherited

1. XGBoostModel
2. Serializable
3. Serializable
4. AnyRef
5. Any

1. Hide All
2. Show All

Visibility

1. Public
2. All

### Instance Constructors

1. #### new XGBoostModel(booster: Booster)

### Value Members

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

   Definition Classes
     AnyRef → Any

2. #### final def ##(): Int

   Definition Classes
     AnyRef → Any

3. #### final def ==(arg0: Any): Boolean

   Definition Classes
     AnyRef → Any

4. #### final def asInstanceOf[T0]: T0

   Definition Classes
     Any

5. #### def clone(): AnyRef

   Attributes
     protected[java.lang]
   Definition Classes
     AnyRef
   Annotations
     @throws( ... )

6. #### final def eq(arg0: AnyRef): Boolean

   Definition Classes
     AnyRef

7. #### def equals(arg0: Any): Boolean

   Definition Classes
     AnyRef → Any

8. #### def finalize(): Unit

   Attributes
     protected[java.lang]
   Definition Classes
     AnyRef
   Annotations
     @throws( classOf[java.lang.Throwable] )

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

   Definition Classes
     AnyRef → Any

10. #### def hashCode(): Int

    Definition Classes
      AnyRef → Any

11. #### final def isInstanceOf[T0]: Boolean

    Definition Classes
      Any

12. #### final def ne(arg0: AnyRef): Boolean

    Definition Classes
      AnyRef

13. #### final def notify(): Unit

    Definition Classes
      AnyRef

14. #### final def notifyAll(): Unit

    Definition Classes
      AnyRef

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

    Definition Classes
      AnyRef

19. #### def toString(): String

    Definition Classes
      AnyRef → Any

20. #### final def wait(): Unit

    Definition Classes
      AnyRef
    Annotations
      @throws( ... )

21. #### final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
      AnyRef
    Annotations
      @throws( ... )

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

    Definition Classes
      AnyRef
    Annotations
      @throws( ... )

### Inherited from Serializable

### Inherited from AnyRef

### Inherited from Any

### Ungrouped