Packages

case class CatboostBooster(booster: CatBoostModel, bytes: Array[Byte]) extends Booster[String] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Booster[String], Model, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. CatboostBooster
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Booster
  7. Model
  8. AnyRef
  9. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new CatboostBooster(booster: CatBoostModel, bytes: Array[Byte])

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 booster: CatBoostModel
  6. val bytes: Array[Byte]
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def close(): Unit
    Definition Classes
    CatboostBooster → Booster
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. 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
  11. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. def predict(values: RealVector): Double

    Make single prediction

    Make single prediction

    Definition Classes
    Booster → Model
  18. 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
  19. def predictMat(values: Array[Double], rows: Int, cols: Int): Array[Double]
    Definition Classes
    CatboostBooster → Booster
  20. def save(): Array[Byte]
    Definition Classes
    CatboostBooster → Booster
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  25. def weights(): Array[Double]
    Definition Classes
    CatboostBooster → Booster

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Booster[String]

Inherited from Model

Inherited from AnyRef

Inherited from Any

Ungrouped