LightGBMBooster

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. var boosterPtr: SWIGTYPE_p_void

   

   Transient variable containing local machine's pointer to native booster

6. def clone(): AnyRef

   

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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

    

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11. 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.

12. def getNumClasses(): Int

    

    Retrieve the number of classes from LightGBM Booster

    Retrieve the number of classes from LightGBM Booster

    returns

    The number of classes.

13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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15. val model: String

    

    The string serialized representation of the learner

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

    

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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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19. lazy val numClasses: Int

    

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

    

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

    

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

    

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

    

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

    

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25. def toString(): String

    

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26. final def wait(): Unit

    

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

    

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

    

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