ml.dmlc.xgboost4j

# LabeledPoint

###
Related Doc: package xgboost4j

#### case class LabeledPoint(label: Float, indices: Array[Int], values: Array[Float], weight: Float = 1f, group: Int = 1, baseMargin: Float = Float.NaN) extends Serializable with Product

Labeled training data point.

label

  Label of this point.

indices

  Feature indices of this point or `null` if the data is dense.

values

  Feature values of this point.

weight

  Weight of this point.

group

  Group of this point (used for ranking) or -1.

baseMargin

  Initial prediction on this point or `Float.NaN`

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Product, Equals, Serializable, Serializable, AnyRef, Any
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1. LabeledPoint
2. Product
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### Instance Constructors

1. #### new LabeledPoint(label: Float, indices: Array[Int], values: Array[Float])

2. #### new LabeledPoint(label: Float, indices: Array[Int], values: Array[Float], weight: Float = 1f, group: Int = 1, baseMargin: Float = Float.NaN)

   label

     Label of this point.

   indices

     Feature indices of this point or `null` if the data is dense.

   values

     Feature values of this point.

   weight

     Weight of this point.

   group

     Group of this point (used for ranking) or -1.

   baseMargin

     Initial prediction on this point or `Float.NaN`

### 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. #### val baseMargin: Float

   Initial prediction on this point or `Float.NaN`

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

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

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

   Definition Classes
     AnyRef

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. #### val group: Int

    Group of this point (used for ranking) or -1.

11. #### val indices: Array[Int]

    Feature indices of this point or `null` if the data is dense.

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

    Definition Classes
      Any

13. #### val label: Float

    Label of this point.

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

    Definition Classes
      AnyRef

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

    Definition Classes
      AnyRef

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

    Definition Classes
      AnyRef

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

    Definition Classes
      AnyRef

18. #### val values: Array[Float]

    Feature values of this point.

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

    Definition Classes
      AnyRef
    Annotations
      @throws( ... )

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

    Definition Classes
      AnyRef
    Annotations
      @throws( ... )

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

    Definition Classes
      AnyRef
    Annotations
      @throws( ... )

22. #### val weight: Float

    Weight of this point.

### Inherited from Product

### Inherited from Equals

### Inherited from Serializable

### Inherited from AnyRef

### Inherited from Any

### Ungrouped