LightGBMBooster

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. var boosterPtr: SWIGTYPE_p_void

   

   Transient variable containing local machine's pointer to native booster

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

7. def ensureScoredDataCreated(): Unit

   

8. final def eq(arg0: AnyRef): Boolean

   

   Definition Classes

   AnyRef

9. def equals(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

10. def finalize(): Unit

    

    Attributes

    protected

    Definition Classes

    LightGBMBooster → AnyRef

11. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

12. def getFeatureImportances(importanceType: String): Array[Double]

    

    Calls into LightGBM to retrieve the feature importances.

    Calls into LightGBM to retrieve the feature importances.

    importanceType

    Can be "split" or "gain"

    returns

    The feature importance values as an array.

13. def getNumClasses(): Int

    

    Retrieve the number of classes from LightGBM Booster

    Retrieve the number of classes from LightGBM Booster

    returns

    The number of classes.

14. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

16. val model: String

    

    The string serialized representation of the learner

17. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

18. final def notify(): Unit

    

    Definition Classes

    AnyRef

19. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

20. lazy val numClasses: Int

    

21. def predictForCSR(sparseVector: SparseVector, kind: Int, classification: Boolean): Array[Double]

    

    Attributes

    protected

22. def predictForMat(row: Array[Double], kind: Int, classification: Boolean): Array[Double]

    

    Attributes

    protected

23. def saveNativeModel(session: SparkSession, filename: String, overwrite: Boolean): Unit

    

24. def score(features: Vector, raw: Boolean, classification: Boolean): Array[Double]

    

25. var scoredDataLengthLongPtr: SWIGTYPE_p_long_long

    

26. var scoredDataOutPtr: SWIGTYPE_p_double

    

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

    

    Definition Classes

    AnyRef

28. def toString(): String

    

    Definition Classes

    AnyRef → Any

29. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

31. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )