object LightGBMUtils
Helper utilities for LightGBM learners
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Value Members
- def addSocketAndComm(hostAndPorts: ListBuffer[(Socket, String)], log: Logger, comm: String, driverSocket: Socket): Unit
- def closeConnections(log: Logger, hostAndPorts: ListBuffer[(Socket, String)], driverServerSocket: ServerSocket): Unit
- def getFeaturizer(dataset: Dataset[_], labelColumn: String, featuresColumn: String, weightColumn: Option[String] = None, groupColumn: Option[String] = None, oneHotEncodeCategoricals: Boolean = true): PipelineModel
- def getNumRowsForChunksArray(numRows: Int, chunkSize: Int): SWIGTYPE_p_int
-
def
getTaskId: Long
Returns a unique task Id for the current task run on the executor.
Returns a unique task Id for the current task run on the executor.
- returns
A unique task id.
-
def
getWorkerId: Int
Returns an integer ID for the current worker.
Returns an integer ID for the current worker.
- returns
In cluster, returns the executor id. In local case, returns the partition id.
-
def
handleConnection(driverServerSocket: ServerSocket, log: Logger, hostAndPorts: ListBuffer[(Socket, String)]): ConnectionState.ConnectionState
Handles the connection to a task from the driver.
Handles the connection to a task from the driver.
- driverServerSocket
The driver socket.
- log
The log4j logger.
- hostAndPorts
A list of host and ports of connected tasks.
- returns
The connection status, can be finished for barrier mode, empty task or connected.
-
def
initializeNativeLibrary(): Unit
Loads the native shared object binaries lib_lightgbm.so and lib_lightgbm_swig.so
-
def
isLocalExecution: Boolean
Returns true if spark is run in local mode.
Returns true if spark is run in local mode.
- returns
True if spark is run in local mode.
- def sendDataToExecutors(hostAndPorts: ListBuffer[(Socket, String)], allConnections: String): Unit
- def validate(result: Int, component: String): Unit
- def validateArray(result: SWIGTYPE_p_void, component: String): Unit