case class LabeledPoint(label: Float, size: Int, 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.
- size
 Feature dimensionality
- indices
 Feature indices of this point or
nullif 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
- Source
 - LabeledPoint.scala
 
          
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-  new LabeledPoint(label: Float, size: Int, indices: Array[Int], values: Array[Float])
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        new
      
      
        LabeledPoint(label: Float, size: Int, indices: Array[Int], values: Array[Float], weight: Float = 1f, group: Int = -1, baseMargin: Float = Float.NaN)
      
      
      
- label
 Label of this point.
- size
 Feature dimensionality
- indices
 Feature indices of this point or
nullif 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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 -  val baseMargin: Float
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 -  val group: Int
 -  val indices: Array[Int]
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 -  val label: Float
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 -  val size: Int
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 -  val values: Array[Float]
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 -  val weight: Float