class LightGBMClassifier extends ProbabilisticClassifier[Vector, LightGBMClassifier, LightGBMClassificationModel] with LightGBMBase[LightGBMClassificationModel] with SynapseMLLogging

Trains a LightGBM Classification model, a fast, distributed, high performance gradient boosting framework based on decision tree algorithms. For more information please see here: https://github.com/Microsoft/LightGBM. For parameter information see here: https://github.com/Microsoft/LightGBM/blob/master/docs/Parameters.rst

Linear Supertypes
LightGBMBase[LightGBMClassificationModel], SynapseMLLogging, LightGBMPerformance, ComplexParamsWritable, LightGBMParams, LightGBMCategoricalParams, LightGBMSeedParams, LightGBMObjectiveParams, LightGBMPredictionParams, LightGBMDartParams, LightGBMDatasetParams, LightGBMLearnerParams, LightGBMBinParams, LightGBMFractionParams, LightGBMSlotParams, LightGBMExecutionParams, HasInitScoreCol, HasValidationIndicatorCol, HasWeightCol, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, ProbabilisticClassifier[Vector, LightGBMClassifier, LightGBMClassificationModel], ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, Classifier[Vector, LightGBMClassifier, LightGBMClassificationModel], ClassifierParams, HasRawPredictionCol, Predictor[Vector, LightGBMClassifier, LightGBMClassificationModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[LightGBMClassificationModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. LightGBMClassifier
  2. LightGBMBase
  3. SynapseMLLogging
  4. LightGBMPerformance
  5. ComplexParamsWritable
  6. LightGBMParams
  7. LightGBMCategoricalParams
  8. LightGBMSeedParams
  9. LightGBMObjectiveParams
  10. LightGBMPredictionParams
  11. LightGBMDartParams
  12. LightGBMDatasetParams
  13. LightGBMLearnerParams
  14. LightGBMBinParams
  15. LightGBMFractionParams
  16. LightGBMSlotParams
  17. LightGBMExecutionParams
  18. HasInitScoreCol
  19. HasValidationIndicatorCol
  20. HasWeightCol
  21. DefaultParamsWritable
  22. MLWritable
  23. Wrappable
  24. RWrappable
  25. PythonWrappable
  26. BaseWrappable
  27. ProbabilisticClassifier
  28. ProbabilisticClassifierParams
  29. HasThresholds
  30. HasProbabilityCol
  31. Classifier
  32. ClassifierParams
  33. HasRawPredictionCol
  34. Predictor
  35. PredictorParams
  36. HasPredictionCol
  37. HasFeaturesCol
  38. HasLabelCol
  39. Estimator
  40. PipelineStage
  41. Logging
  42. Params
  43. Serializable
  44. Serializable
  45. Identifiable
  46. AnyRef
  47. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new LightGBMClassifier()
  2. new LightGBMClassifier(uid: String)

    uid

    The unique ID.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. def addCustomTrainParams(params: BaseTrainParams, dataset: Dataset[_]): BaseTrainParams
    Attributes
    protected
    Definition Classes
    LightGBMClassifier → LightGBMBase
  6. def afterTrainBatch(batchIndex: Int, dataset: Dataset[_], model: LightGBMClassificationModel): Unit
    Definition Classes
    LightGBMBase
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. val baggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  9. val baggingFreq: IntParam
    Definition Classes
    LightGBMParams
  10. val baggingSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  11. def beforeTrainBatch(batchIndex: Int, dataset: Dataset[_], model: Option[LightGBMClassificationModel]): Unit
    Definition Classes
    LightGBMBase
  12. val binSampleCount: IntParam
    Definition Classes
    LightGBMBinParams
  13. val boostFromAverage: BooleanParam
    Definition Classes
    LightGBMParams
  14. val boostingType: Param[String]
    Definition Classes
    LightGBMParams
  15. def castColumns(dataset: Dataset[_], trainingCols: Array[(String, Seq[DataType])]): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  16. val catSmooth: DoubleParam
    Definition Classes
    LightGBMCategoricalParams
  17. val categoricalSlotIndexes: IntArrayParam
    Definition Classes
    LightGBMSlotParams
  18. val categoricalSlotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  19. val catl2: DoubleParam
    Definition Classes
    LightGBMCategoricalParams
  20. val chunkSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  21. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  22. final def clear(param: Param[_]): LightGBMClassifier.this.type
    Definition Classes
    Params
  23. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  24. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  25. def copy(extra: ParamMap): LightGBMClassifier
    Definition Classes
    LightGBMClassifier → Predictor → Estimator → PipelineStage → Params
  26. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  27. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  28. val dataRandomSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  29. val dataTransferMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  30. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  31. val defaultListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  32. val delegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  33. val deterministic: BooleanParam
    Definition Classes
    LightGBMSeedParams
  34. val driverListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  35. val dropRate: DoubleParam
    Definition Classes
    LightGBMDartParams
  36. val dropSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  37. val earlyStoppingRound: IntParam
    Definition Classes
    LightGBMLearnerParams
  38. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  39. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  40. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  41. def explainParams(): String
    Definition Classes
    Params
  42. val extraSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  43. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  44. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  45. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  46. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  47. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  48. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  49. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  50. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  51. def fit(dataset: Dataset[_]): LightGBMClassificationModel
    Definition Classes
    Predictor → Estimator
  52. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMClassificationModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  53. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMClassificationModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  54. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMClassificationModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  55. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  56. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  57. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  58. def getBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  59. def getBaggingFreq: Int
    Definition Classes
    LightGBMParams
  60. def getBaggingSeed: Int
    Definition Classes
    LightGBMSeedParams
  61. def getBinSampleCount: Int
    Definition Classes
    LightGBMBinParams
  62. def getBoostFromAverage: Boolean
    Definition Classes
    LightGBMParams
  63. def getBoostingType: String
    Definition Classes
    LightGBMParams
  64. def getCatSmooth: Double
    Definition Classes
    LightGBMCategoricalParams
  65. def getCategoricalIndexes(featuresSchema: StructField): Array[Int]

    Retrieves the categorical indexes in the features column.

    Retrieves the categorical indexes in the features column.

    featuresSchema

    The schema of the features column

    returns

    the categorical indexes in the features column.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  66. def getCategoricalParams: CategoricalParams

    Constructs the CategoricalParams.

    Constructs the CategoricalParams.

    returns

    CategoricalParams object containing the parameters related to LightGBM categorical features.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  67. def getCategoricalSlotIndexes: Array[Int]
    Definition Classes
    LightGBMSlotParams
  68. def getCategoricalSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  69. def getCatl2: Double
    Definition Classes
    LightGBMCategoricalParams
  70. def getChunkSize: Int
    Definition Classes
    LightGBMExecutionParams
  71. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  72. def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  73. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  74. def getDataRandomSeed: Int
    Definition Classes
    LightGBMSeedParams
  75. def getDataTransferMode: String
    Definition Classes
    LightGBMExecutionParams
  76. def getDatasetCreationParams(categoricalIndexes: Array[Int], numThreads: Int): String
    Attributes
    protected
    Definition Classes
    LightGBMBase
  77. def getDatasetParams: DatasetParams

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  78. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  79. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  80. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  81. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  82. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  83. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  84. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  85. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  86. def getExecutionParams(numTasksPerExec: Int): ExecutionParams

    Constructs the ExecutionParams.

    Constructs the ExecutionParams.

    returns

    ExecutionParams object containing parameters related to LightGBM execution.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  87. def getExtraSeed: Int
    Definition Classes
    LightGBMSeedParams
  88. def getFObj: FObjTrait
    Definition Classes
    LightGBMObjectiveParams
  89. def getFeatureFraction: Double
    Definition Classes
    LightGBMFractionParams
  90. def getFeatureFractionByNode: Double
    Definition Classes
    LightGBMFractionParams
  91. def getFeatureFractionSeed: Int
    Definition Classes
    LightGBMSeedParams
  92. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  93. def getFeaturesShapCol: String
    Definition Classes
    LightGBMPredictionParams
  94. def getGeneralParams(numTasks: Int, featuresSchema: StructField): GeneralParams

    Constructs the GeneralParams.

    Constructs the GeneralParams.

    returns

    GeneralParams object containing parameters related to general LightGBM parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  95. def getImprovementTolerance: Double
    Definition Classes
    LightGBMLearnerParams
  96. def getInitScoreCol: String

    Definition Classes
    HasInitScoreCol
  97. def getIsEnableSparse: Boolean
    Definition Classes
    LightGBMDatasetParams
  98. def getIsProvideTrainingMetric: Boolean
    Definition Classes
    LightGBMParams
  99. def getIsUnbalance: Boolean
  100. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  101. def getLambdaL1: Double
    Definition Classes
    LightGBMParams
  102. def getLambdaL2: Double
    Definition Classes
    LightGBMParams
  103. def getLeafPredictionCol: String
    Definition Classes
    LightGBMPredictionParams
  104. def getLearningRate: Double
    Definition Classes
    LightGBMParams
  105. def getMatrixType: String
    Definition Classes
    LightGBMExecutionParams
  106. def getMaxBin: Int
    Definition Classes
    LightGBMBinParams
  107. def getMaxBinByFeature: Array[Int]
    Definition Classes
    LightGBMParams
  108. def getMaxCatThreshold: Int
    Definition Classes
    LightGBMCategoricalParams
  109. def getMaxCatToOnehot: Int
    Definition Classes
    LightGBMCategoricalParams
  110. def getMaxDeltaStep: Double
    Definition Classes
    LightGBMParams
  111. def getMaxDepth: Int
    Definition Classes
    LightGBMParams
  112. def getMaxDrop: Int
    Definition Classes
    LightGBMDartParams
  113. def getMaxNumClasses: Int
    Definition Classes
    LightGBMParams
  114. def getMaxStreamingOMPThreads: Int
    Definition Classes
    LightGBMExecutionParams
  115. def getMetric: String
    Definition Classes
    LightGBMParams
  116. def getMicroBatchSize: Int
    Definition Classes
    LightGBMExecutionParams
  117. def getMinDataInLeaf: Int
    Definition Classes
    LightGBMParams
  118. def getMinDataPerBin: Int
    Definition Classes
    LightGBMParams
  119. def getMinDataPerGroup: Int
    Definition Classes
    LightGBMCategoricalParams
  120. def getMinGainToSplit: Double
    Definition Classes
    LightGBMParams
  121. def getMinSumHessianInLeaf: Double
    Definition Classes
    LightGBMParams
  122. def getModel(trainParams: BaseTrainParams, lightGBMBooster: LightGBMBooster): LightGBMClassificationModel

    Gets the trained model given the train parameters and booster.

    Gets the trained model given the train parameters and booster.

    returns

    trained model.

    Definition Classes
    LightGBMClassifier → LightGBMBase
  123. def getModelString: String
    Definition Classes
    LightGBMParams
  124. def getMonotoneConstraints: Array[Int]
    Definition Classes
    LightGBMLearnerParams
  125. def getMonotoneConstraintsMethod: String
    Definition Classes
    LightGBMLearnerParams
  126. def getMonotonePenalty: Double
    Definition Classes
    LightGBMLearnerParams
  127. def getNegBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  128. def getNumBatches: Int
    Definition Classes
    LightGBMExecutionParams
  129. def getNumClasses(dataset: Dataset[_], maxNumClasses: Int): Int
    Attributes
    protected
    Definition Classes
    Classifier
  130. def getNumIterations: Int
    Definition Classes
    LightGBMParams
  131. def getNumLeaves: Int
    Definition Classes
    LightGBMParams
  132. def getNumTasks: Int
    Definition Classes
    LightGBMExecutionParams
  133. def getNumThreads: Int
    Definition Classes
    LightGBMExecutionParams
  134. def getObjective: String
    Definition Classes
    LightGBMObjectiveParams
  135. def getObjectiveParams: ObjectiveParams

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  136. def getObjectiveSeed: Int
    Definition Classes
    LightGBMSeedParams
  137. def getOptGroupCol: Option[String]

    Optional group column for Ranking, set to None by default.

    Optional group column for Ranking, set to None by default.

    returns

    None

    Attributes
    protected
    Definition Classes
    LightGBMBase
  138. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  139. def getOtherRate: Double
    Definition Classes
    LightGBMLearnerParams
  140. def getParallelism: String
    Definition Classes
    LightGBMExecutionParams
  141. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  142. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  143. def getPassThroughArgs: String
    Definition Classes
    LightGBMExecutionParams
  144. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  145. def getPerformanceMeasures: Option[InstrumentationMeasures]

    In the common case of 1 batch, there is only 1 measure, so this is a convenience method.

    In the common case of 1 batch, there is only 1 measure, so this is a convenience method.

    Definition Classes
    LightGBMPerformance
  146. def getPosBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  147. def getPredictDisableShapeCheck: Boolean
    Definition Classes
    LightGBMPredictionParams
  148. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  149. final def getProbabilityCol: String
    Definition Classes
    HasProbabilityCol
  150. final def getRawPredictionCol: String
    Definition Classes
    HasRawPredictionCol
  151. def getReferenceDataset: Array[Byte]
    Definition Classes
    LightGBMExecutionParams
  152. def getRepartitionByGroupingColumn: Boolean
    Definition Classes
    LightGBMExecutionParams
  153. def getSamplingMode: String
    Definition Classes
    LightGBMExecutionParams
  154. def getSamplingSubsetSize: Int
    Definition Classes
    LightGBMExecutionParams
  155. def getSeed: Int
    Definition Classes
    LightGBMSeedParams
  156. def getSeedParams: SeedParams

    Constructs the SeedParams.

    Constructs the SeedParams.

    returns

    SeedParams object containing the parameters related to LightGBM seeds and determinism.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  157. def getSkipDrop: Double
    Definition Classes
    LightGBMDartParams
  158. def getSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  159. def getThresholds: Array[Double]
    Definition Classes
    HasThresholds
  160. def getTimeout: Double
    Definition Classes
    LightGBMExecutionParams
  161. def getTopK: Int
    Definition Classes
    LightGBMExecutionParams
  162. def getTopRate: Double
    Definition Classes
    LightGBMLearnerParams
  163. def getTrainParams(numTasks: Int, featuresSchema: StructField, numTasksPerExec: Int): BaseTrainParams

    Gets the training parameters.

    Gets the training parameters.

    numTasks

    The total number of tasks.

    featuresSchema

    The features column schema.

    numTasksPerExec

    The number of tasks per executor.

    returns

    train parameters.

    Definition Classes
    LightGBMClassifier → LightGBMBase
  164. def getTrainingCols: Array[(String, Seq[DataType])]
    Attributes
    protected
    Definition Classes
    LightGBMBase
  165. def getUniformDrop: Boolean
    Definition Classes
    LightGBMDartParams
  166. def getUseBarrierExecutionMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  167. def getUseMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  168. def getUseSingleDatasetMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  169. def getValidationIndicatorCol: String

    Definition Classes
    HasValidationIndicatorCol
  170. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  171. def getWeightCol: String

    Definition Classes
    HasWeightCol
  172. def getXGBoostDartMode: Boolean
    Definition Classes
    LightGBMDartParams
  173. def getZeroAsMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  174. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  175. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  176. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  177. val improvementTolerance: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  178. def initPerformanceMeasures(batchCount: Int): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  179. val initScoreCol: Param[String]

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol
  180. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  181. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  182. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  183. val isEnableSparse: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  184. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  185. val isProvideTrainingMetric: BooleanParam
    Definition Classes
    LightGBMParams
  186. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  187. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  188. val isUnbalance: BooleanParam
  189. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  190. val lambdaL1: DoubleParam
    Definition Classes
    LightGBMParams
  191. val lambdaL2: DoubleParam
    Definition Classes
    LightGBMParams
  192. val leafPredictionCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  193. val learningRate: DoubleParam
    Definition Classes
    LightGBMParams
  194. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  195. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  196. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  197. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  198. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  199. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  200. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  201. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  202. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  203. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  204. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  205. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  206. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  207. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  208. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  209. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  210. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  211. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  212. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  213. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  214. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  215. val matrixType: Param[String]
    Definition Classes
    LightGBMExecutionParams
  216. val maxBin: IntParam
    Definition Classes
    LightGBMBinParams
  217. val maxBinByFeature: IntArrayParam
    Definition Classes
    LightGBMParams
  218. val maxCatThreshold: IntParam
    Definition Classes
    LightGBMCategoricalParams
  219. val maxCatToOnehot: IntParam
    Definition Classes
    LightGBMCategoricalParams
  220. val maxDeltaStep: DoubleParam
    Definition Classes
    LightGBMParams
  221. val maxDepth: IntParam
    Definition Classes
    LightGBMParams
  222. val maxDrop: IntParam
    Definition Classes
    LightGBMDartParams
  223. val maxNumClasses: IntParam
    Definition Classes
    LightGBMParams
  224. val maxStreamingOMPThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  225. val metric: Param[String]
    Definition Classes
    LightGBMParams
  226. val microBatchSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  227. val minDataInLeaf: IntParam
    Definition Classes
    LightGBMParams
  228. val minDataPerBin: IntParam
    Definition Classes
    LightGBMParams
  229. val minDataPerGroup: IntParam
    Definition Classes
    LightGBMCategoricalParams
  230. val minGainToSplit: DoubleParam
    Definition Classes
    LightGBMParams
  231. val minSumHessianInLeaf: DoubleParam
    Definition Classes
    LightGBMParams
  232. val modelString: Param[String]
    Definition Classes
    LightGBMParams
  233. val monotoneConstraints: IntArrayParam
    Definition Classes
    LightGBMLearnerParams
  234. val monotoneConstraintsMethod: Param[String]
    Definition Classes
    LightGBMLearnerParams
  235. val monotonePenalty: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  236. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  237. val negBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  238. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  239. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  240. val numBatches: IntParam
    Definition Classes
    LightGBMExecutionParams
  241. val numIterations: IntParam
    Definition Classes
    LightGBMParams
  242. val numLeaves: IntParam
    Definition Classes
    LightGBMParams
  243. val numTasks: IntParam
    Definition Classes
    LightGBMExecutionParams
  244. val numThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  245. val objective: Param[String]
    Definition Classes
    LightGBMObjectiveParams
  246. val objectiveSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  247. val otherRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  248. val parallelism: Param[String]
    Definition Classes
    LightGBMExecutionParams
  249. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  250. val passThroughArgs: Param[String]
    Definition Classes
    LightGBMExecutionParams
  251. val posBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  252. val predictDisableShapeCheck: BooleanParam
    Definition Classes
    LightGBMPredictionParams
  253. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  254. def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  255. def preprocessData(df: DataFrame): DataFrame

    Allow algorithm specific preprocessing of dataset.

    Allow algorithm specific preprocessing of dataset.

    df

    The dataframe to preprocess prior to training.

    returns

    The preprocessed data.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  256. final val probabilityCol: Param[String]
    Definition Classes
    HasProbabilityCol
  257. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  258. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  259. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  260. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  261. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  262. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  263. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  264. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  265. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  266. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  267. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  268. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  269. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  270. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  271. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  272. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  273. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  274. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  275. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  276. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  277. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  278. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  279. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  280. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  281. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  282. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  283. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  284. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  285. final val rawPredictionCol: Param[String]
    Definition Classes
    HasRawPredictionCol
  286. val referenceDataset: ByteArrayParam
    Definition Classes
    LightGBMExecutionParams
  287. val repartitionByGroupingColumn: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  288. val samplingMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  289. val samplingSubsetSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  290. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  291. val seed: IntParam
    Definition Classes
    LightGBMSeedParams
  292. final def set(paramPair: ParamPair[_]): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  293. final def set(param: String, value: Any): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  294. final def set[T](param: Param[T], value: T): LightGBMClassifier.this.type
    Definition Classes
    Params
  295. def setBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  296. def setBaggingFreq(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  297. def setBaggingSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  298. def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  299. def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  300. def setBinSampleCount(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMBinParams
  301. def setBoostFromAverage(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  302. def setBoostingType(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  303. def setCatSmooth(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  304. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  305. def setCategoricalSlotNames(value: Array[String]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  306. def setCatl2(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  307. def setChunkSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  308. def setDataRandomSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  309. def setDataTransferMode(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  310. final def setDefault(paramPairs: ParamPair[_]*): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  311. final def setDefault[T](param: Param[T], value: T): LightGBMClassifier.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  312. def setDefaultListenPort(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  313. def setDelegate(delegate: LightGBMDelegate): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  314. def setDeterministic(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  315. def setDriverListenPort(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  316. def setDropRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  317. def setDropSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  318. def setEarlyStoppingRound(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  319. def setExtraSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  320. def setFObj(value: FObjTrait): LightGBMClassifier.this.type
    Definition Classes
    LightGBMObjectiveParams
  321. def setFeatureFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  322. def setFeatureFractionByNode(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  323. def setFeatureFractionSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  324. def setFeaturesCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  325. def setFeaturesShapCol(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  326. def setImprovementTolerance(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  327. def setInitScoreCol(value: String): LightGBMClassifier.this.type

    Definition Classes
    HasInitScoreCol
  328. def setIsEnableSparse(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  329. def setIsProvideTrainingMetric(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  330. def setIsUnbalance(value: Boolean): LightGBMClassifier.this.type
  331. def setLabelCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  332. def setLambdaL1(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  333. def setLambdaL2(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  334. def setLeafPredictionCol(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  335. def setLearningRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  336. def setMatrixType(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  337. def setMaxBin(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMBinParams
  338. def setMaxBinByFeature(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  339. def setMaxCatThreshold(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  340. def setMaxCatToOnehot(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  341. def setMaxDeltaStep(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  342. def setMaxDepth(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  343. def setMaxDrop(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  344. def setMaxNumClasses(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  345. def setMaxStreamingOMPThreads(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  346. def setMetric(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  347. def setMicroBatchSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  348. def setMinDataInLeaf(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  349. def setMinDataPerBin(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  350. def setMinDataPerGroup(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  351. def setMinGainToSplit(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  352. def setMinSumHessianInLeaf(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  353. def setModelString(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  354. def setMonotoneConstraints(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  355. def setMonotoneConstraintsMethod(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  356. def setMonotonePenalty(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  357. def setNegBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  358. def setNumBatches(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  359. def setNumIterations(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  360. def setNumLeaves(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  361. def setNumTasks(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  362. def setNumThreads(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  363. def setObjective(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMObjectiveParams
  364. def setObjectiveSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  365. def setOtherRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  366. def setParallelism(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  367. def setPassThroughArgs(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  368. def setPosBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  369. def setPredictDisableShapeCheck(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  370. def setPredictionCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  371. def setProbabilityCol(value: String): LightGBMClassifier
    Definition Classes
    ProbabilisticClassifier
  372. def setRawPredictionCol(value: String): LightGBMClassifier
    Definition Classes
    Classifier
  373. def setReferenceDataset(value: Array[Byte]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  374. def setRepartitionByGroupingColumn(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  375. def setSamplingMode(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  376. def setSamplingSubsetSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  377. def setSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  378. def setSkipDrop(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  379. def setSlotNames(value: Array[String]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  380. def setThresholds(value: Array[Double]): LightGBMClassifier
    Definition Classes
    ProbabilisticClassifier
  381. def setTimeout(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  382. def setTopK(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  383. def setTopRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  384. def setUniformDrop(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  385. def setUseBarrierExecutionMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  386. def setUseMissing(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  387. def setUseSingleDatasetMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  388. def setValidationIndicatorCol(value: String): LightGBMClassifier.this.type

    Definition Classes
    HasValidationIndicatorCol
  389. def setVerbosity(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  390. def setWeightCol(value: String): LightGBMClassifier.this.type

    Definition Classes
    HasWeightCol
  391. def setXGBoostDartMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  392. def setZeroAsMissing(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  393. val skipDrop: DoubleParam
    Definition Classes
    LightGBMDartParams
  394. val slotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  395. def stringFromTrainedModel(model: LightGBMClassificationModel): String
    Definition Classes
    LightGBMClassifier → LightGBMBase
  396. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  397. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  398. val thresholds: DoubleArrayParam
    Definition Classes
    HasThresholds
  399. val timeout: DoubleParam
    Definition Classes
    LightGBMExecutionParams
  400. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  401. val topK: IntParam
    Definition Classes
    LightGBMExecutionParams
  402. val topRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  403. def train(dataset: Dataset[_]): LightGBMClassificationModel

    Trains the LightGBM model.

    Trains the LightGBM model. If batches are specified, breaks training dataset into batches for training.

    dataset

    The input dataset to train.

    returns

    The trained model.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  404. def transformSchema(schema: StructType): StructType
    Definition Classes
    Predictor → PipelineStage
  405. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  406. val uid: String
    Definition Classes
    LightGBMClassifier → SynapseMLLogging → Identifiable
  407. val uniformDrop: BooleanParam
    Definition Classes
    LightGBMDartParams
  408. val useBarrierExecutionMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  409. val useMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  410. val useSingleDatasetMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  411. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams
  412. val validationIndicatorCol: Param[String]

    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol
  413. val verbosity: IntParam
    Definition Classes
    LightGBMParams
  414. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  415. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  416. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  417. val weightCol: Param[String]

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  418. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  419. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  420. val zeroAsMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams

Deprecated Value Members

  1. val executionMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
    Annotations
    @deprecated
    Deprecated

    (Since version 0.11.1) Please use 'dataTransferMode'

  2. def setExecutionMode(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
    Annotations
    @deprecated
    Deprecated

    (Since version 0.11.1) Please use 'setDataTransferMode'

Inherited from LightGBMBase[LightGBMClassificationModel]

Inherited from SynapseMLLogging

Inherited from LightGBMPerformance

Inherited from ComplexParamsWritable

Inherited from LightGBMParams

Inherited from LightGBMCategoricalParams

Inherited from LightGBMSeedParams

Inherited from LightGBMObjectiveParams

Inherited from LightGBMPredictionParams

Inherited from LightGBMDartParams

Inherited from LightGBMDatasetParams

Inherited from LightGBMLearnerParams

Inherited from LightGBMBinParams

Inherited from LightGBMFractionParams

Inherited from LightGBMSlotParams

Inherited from LightGBMExecutionParams

Inherited from HasInitScoreCol

Inherited from HasValidationIndicatorCol

Inherited from HasWeightCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from ProbabilisticClassifier[Vector, LightGBMClassifier, LightGBMClassificationModel]

Inherited from ProbabilisticClassifierParams

Inherited from HasThresholds

Inherited from HasProbabilityCol

Inherited from Classifier[Vector, LightGBMClassifier, LightGBMClassificationModel]

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from Predictor[Vector, LightGBMClassifier, LightGBMClassificationModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[LightGBMClassificationModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped