object LightGBMUtils
Helper utilities for LightGBM learners
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def
getExecutorId: String
Returns the executor ID for the spark Dataset.
Returns the executor ID for the spark Dataset.
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Returns the executor id.
- def getFeaturizer(dataset: Dataset[_], labelColumn: String, featuresColumn: String, weightColumn: Option[String] = None, groupColumn: Option[String] = None, oneHotEncodeCategoricals: Boolean = true): PipelineModel
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getPartitionId: Int
Returns the partition ID for the spark Dataset.
Returns the partition ID for the spark Dataset.
Used to make operations deterministic on same dataset.
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Returns the partition id.
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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.
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A unique task id.
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getWorkerId: Int
Returns an integer ID for the current worker.
Returns an integer ID for the current worker.
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In cluster, returns the executor id. In local case, returns the partition id.
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initializeNativeLibrary(): Unit
Loads the native shared object binaries lib_lightgbm.so and lib_lightgbm_swig.so
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isLocalExecution: Boolean
Returns true if spark is run in local mode.
Returns true if spark is run in local mode.
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True if spark is run in local mode.
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