LightGBMUtils

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. def clone(): AnyRef

   

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6. def createDriverNodesThread(numWorkers: Int, df: DataFrame, log: Logger, timeout: Double, barrierExecutionMode: Boolean): (String, Int, Future[Unit])

   

   Opens a socket communications channel on the driver, starts a thread that waits for the host:port from the executors, and then sends back the information to the executors.

   Opens a socket communications channel on the driver, starts a thread that waits for the host:port from the executors, and then sends back the information to the executors.

   numWorkers

   The total number of training workers to wait for.

   returns

   The address and port of the driver socket.

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. def generateData(numRows: Int, rowsAsDoubleArray: Array[Array[Double]]): (SWIGTYPE_p_void, SWIGTYPE_p_double)

    

11. def generateDenseDataset(numRows: Int, rowsAsDoubleArray: Array[Array[Double]], referenceDataset: Option[LightGBMDataset], featureNamesOpt: Option[Array[String]], trainParams: TrainParams): LightGBMDataset

    

12. def generateSparseDataset(sparseRows: Array[SparseVector], referenceDataset: Option[LightGBMDataset], featureNamesOpt: Option[Array[String]], trainParams: TrainParams): LightGBMDataset

    

    Generates a sparse dataset in CSR format.

    Generates a sparse dataset in CSR format.

    sparseRows

    The rows of sparse vector.

13. def getBoosterPtrFromModelString(lgbModelString: String): SWIGTYPE_p_void

    

14. def getCategoricalIndexes(df: DataFrame, featuresCol: String, categoricalColumnIndexes: Array[Int], categoricalColumnSlotNames: Array[String]): Array[Int]

    

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

    

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16. def getFeaturizer(dataset: Dataset[_], labelColumn: String, featuresColumn: String, weightColumn: Option[String] = None, groupColumn: Option[String] = None, oneHotEncodeCategoricals: Boolean = true): PipelineModel

    

17. def getId(): Int

    

    Returns an integer ID for the current node.

    Returns an integer ID for the current node.

    returns

    In cluster, returns the executor id. In local case, returns the worker id.

18. def hashCode(): Int

    

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19. def initializeNativeLibrary(): Unit

    

    Loads the native shared object binaries lib_lightgbm.so and lib_lightgbm_swig.so

20. final def isInstanceOf[T0]: Boolean

    

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

    

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22. final def notify(): Unit

    

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23. final def notifyAll(): Unit

    

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

    

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25. def toString(): String

    

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26. def validate(result: Int, component: String): Unit

    

27. final def wait(): Unit

    

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

    

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

    

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