Packages

trait Booster[D] extends Model

Linear Supertypes
Model, AnyRef, Any
Known Subclasses
LightGBMBooster, XGBoostBooster
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Inherited
  1. Booster
  2. Model
  3. AnyRef
  4. Any
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Visibility
  1. Public
  2. Protected

Abstract Value Members

  1. abstract def evalMetric(dataset: D): Double
  2. abstract def predictMat(values: Array[Double], rows: Int, cols: Int): Array[Double]
  3. abstract def save(): Array[Byte]
  4. abstract def trainOneIteration(dataset: D): Unit
  5. abstract def weights(): Array[Double]

Concrete 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[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. def eval(data: Dataset, metric: Metric): Double

    Eval a metric over the whole dataset

    Eval a metric over the whole dataset

    Definition Classes
    Booster → Model
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  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
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  14. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  15. def predict(values: RealVector): Double

    Make single prediction

    Make single prediction

    Definition Classes
    Booster → Model
  16. def predict(values: RealMatrix): ArrayRealVector

    Make batch prediction, default impl falling back to per-row predict.

    Make batch prediction, default impl falling back to per-row predict. You should overload it for better performance.

    Definition Classes
    Booster → Model
  17. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  18. def toString(): String
    Definition Classes
    AnyRef → Any
  19. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  20. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  21. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from Model

Inherited from AnyRef

Inherited from Any

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