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

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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. DotnetWrappable
  25. RWrappable
  26. PythonWrappable
  27. BaseWrappable
  28. ProbabilisticClassifier
  29. ProbabilisticClassifierParams
  30. HasThresholds
  31. HasProbabilityCol
  32. Classifier
  33. ClassifierParams
  34. HasRawPredictionCol
  35. Predictor
  36. PredictorParams
  37. HasPredictionCol
  38. HasFeaturesCol
  39. HasLabelCol
  40. Estimator
  41. PipelineStage
  42. Logging
  43. Params
  44. Serializable
  45. Serializable
  46. Identifiable
  47. AnyRef
  48. 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
    LightGBMClassifierLightGBMBase
  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. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  35. def dotnetClass(): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  36. lazy val dotnetClassName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  37. lazy val dotnetClassNameString: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  38. lazy val dotnetClassWrapperName: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  39. lazy val dotnetCopyrightLines: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  40. def dotnetExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  41. def dotnetExtraMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  42. lazy val dotnetInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  43. def dotnetMLReadWriteMethods: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  44. lazy val dotnetNamespace: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  45. lazy val dotnetObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  46. def dotnetParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  47. def dotnetParamGetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  48. def dotnetParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  49. def dotnetParamSetters: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  50. def dotnetWrapAsTypeMethod: String
    Attributes
    protected
    Definition Classes
    DotnetWrappable
  51. val driverListenPort: IntParam
    Definition Classes
    LightGBMExecutionParams
  52. val dropRate: DoubleParam
    Definition Classes
    LightGBMDartParams
  53. val dropSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  54. val earlyStoppingRound: IntParam
    Definition Classes
    LightGBMLearnerParams
  55. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  56. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  57. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  58. def explainParams(): String
    Definition Classes
    Params
  59. val extraSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  60. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  61. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  62. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  63. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  64. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  65. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  66. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  67. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  68. def fit(dataset: Dataset[_]): LightGBMClassificationModel
    Definition Classes
    Predictor → Estimator
  69. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMClassificationModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  70. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMClassificationModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  71. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMClassificationModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  72. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  73. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  74. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  75. def getBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  76. def getBaggingFreq: Int
    Definition Classes
    LightGBMParams
  77. def getBaggingSeed: Int
    Definition Classes
    LightGBMSeedParams
  78. def getBinSampleCount: Int
    Definition Classes
    LightGBMBinParams
  79. def getBoostFromAverage: Boolean
    Definition Classes
    LightGBMParams
  80. def getBoostingType: String
    Definition Classes
    LightGBMParams
  81. def getCatSmooth: Double
    Definition Classes
    LightGBMCategoricalParams
  82. 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
  83. 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
  84. def getCategoricalSlotIndexes: Array[Int]
    Definition Classes
    LightGBMSlotParams
  85. def getCategoricalSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  86. def getCatl2: Double
    Definition Classes
    LightGBMCategoricalParams
  87. def getChunkSize: Int
    Definition Classes
    LightGBMExecutionParams
  88. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  89. def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  90. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  91. def getDataRandomSeed: Int
    Definition Classes
    LightGBMSeedParams
  92. def getDataTransferMode: String
    Definition Classes
    LightGBMExecutionParams
  93. def getDatasetCreationParams(categoricalIndexes: Array[Int], numThreads: Int): String
    Attributes
    protected
    Definition Classes
    LightGBMBase
  94. def getDatasetParams: DatasetParams

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  95. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  96. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  97. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  98. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  99. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  100. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  101. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  102. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  103. 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
  104. def getExtraSeed: Int
    Definition Classes
    LightGBMSeedParams
  105. def getFObj: FObjTrait
    Definition Classes
    LightGBMObjectiveParams
  106. def getFeatureFraction: Double
    Definition Classes
    LightGBMFractionParams
  107. def getFeatureFractionByNode: Double
    Definition Classes
    LightGBMFractionParams
  108. def getFeatureFractionSeed: Int
    Definition Classes
    LightGBMSeedParams
  109. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  110. def getFeaturesShapCol: String
    Definition Classes
    LightGBMPredictionParams
  111. 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
  112. def getImprovementTolerance: Double
    Definition Classes
    LightGBMLearnerParams
  113. def getInitScoreCol: String

    Definition Classes
    HasInitScoreCol
  114. def getIsEnableSparse: Boolean
    Definition Classes
    LightGBMDatasetParams
  115. def getIsProvideTrainingMetric: Boolean
    Definition Classes
    LightGBMParams
  116. def getIsUnbalance: Boolean
  117. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  118. def getLambdaL1: Double
    Definition Classes
    LightGBMParams
  119. def getLambdaL2: Double
    Definition Classes
    LightGBMParams
  120. def getLeafPredictionCol: String
    Definition Classes
    LightGBMPredictionParams
  121. def getLearningRate: Double
    Definition Classes
    LightGBMParams
  122. def getMatrixType: String
    Definition Classes
    LightGBMExecutionParams
  123. def getMaxBin: Int
    Definition Classes
    LightGBMBinParams
  124. def getMaxBinByFeature: Array[Int]
    Definition Classes
    LightGBMParams
  125. def getMaxCatThreshold: Int
    Definition Classes
    LightGBMCategoricalParams
  126. def getMaxCatToOnehot: Int
    Definition Classes
    LightGBMCategoricalParams
  127. def getMaxDeltaStep: Double
    Definition Classes
    LightGBMParams
  128. def getMaxDepth: Int
    Definition Classes
    LightGBMParams
  129. def getMaxDrop: Int
    Definition Classes
    LightGBMDartParams
  130. def getMaxNumClasses: Int
    Definition Classes
    LightGBMParams
  131. def getMaxStreamingOMPThreads: Int
    Definition Classes
    LightGBMExecutionParams
  132. def getMetric: String
    Definition Classes
    LightGBMParams
  133. def getMicroBatchSize: Int
    Definition Classes
    LightGBMExecutionParams
  134. def getMinDataInLeaf: Int
    Definition Classes
    LightGBMParams
  135. def getMinDataPerBin: Int
    Definition Classes
    LightGBMParams
  136. def getMinDataPerGroup: Int
    Definition Classes
    LightGBMCategoricalParams
  137. def getMinGainToSplit: Double
    Definition Classes
    LightGBMParams
  138. def getMinSumHessianInLeaf: Double
    Definition Classes
    LightGBMParams
  139. 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
    LightGBMClassifierLightGBMBase
  140. def getModelString: String
    Definition Classes
    LightGBMParams
  141. def getMonotoneConstraints: Array[Int]
    Definition Classes
    LightGBMLearnerParams
  142. def getMonotoneConstraintsMethod: String
    Definition Classes
    LightGBMLearnerParams
  143. def getMonotonePenalty: Double
    Definition Classes
    LightGBMLearnerParams
  144. def getNegBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  145. def getNumBatches: Int
    Definition Classes
    LightGBMExecutionParams
  146. def getNumClasses(dataset: Dataset[_], maxNumClasses: Int): Int
    Attributes
    protected
    Definition Classes
    Classifier
  147. def getNumIterations: Int
    Definition Classes
    LightGBMParams
  148. def getNumLeaves: Int
    Definition Classes
    LightGBMParams
  149. def getNumTasks: Int
    Definition Classes
    LightGBMExecutionParams
  150. def getNumThreads: Int
    Definition Classes
    LightGBMExecutionParams
  151. def getObjective: String
    Definition Classes
    LightGBMObjectiveParams
  152. def getObjectiveParams: ObjectiveParams

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  153. def getObjectiveSeed: Int
    Definition Classes
    LightGBMSeedParams
  154. 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
  155. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  156. def getOtherRate: Double
    Definition Classes
    LightGBMLearnerParams
  157. def getParallelism: String
    Definition Classes
    LightGBMExecutionParams
  158. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  159. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  160. def getPassThroughArgs: String
    Definition Classes
    LightGBMExecutionParams
  161. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  162. 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
  163. def getPosBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  164. def getPredictDisableShapeCheck: Boolean
    Definition Classes
    LightGBMPredictionParams
  165. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  166. final def getProbabilityCol: String
    Definition Classes
    HasProbabilityCol
  167. final def getRawPredictionCol: String
    Definition Classes
    HasRawPredictionCol
  168. def getReferenceDataset: Array[Byte]
    Definition Classes
    LightGBMExecutionParams
  169. def getRepartitionByGroupingColumn: Boolean
    Definition Classes
    LightGBMExecutionParams
  170. def getSamplingMode: String
    Definition Classes
    LightGBMExecutionParams
  171. def getSamplingSubsetSize: Int
    Definition Classes
    LightGBMExecutionParams
  172. def getSeed: Int
    Definition Classes
    LightGBMSeedParams
  173. 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
  174. def getSkipDrop: Double
    Definition Classes
    LightGBMDartParams
  175. def getSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  176. def getThresholds: Array[Double]
    Definition Classes
    HasThresholds
  177. def getTimeout: Double
    Definition Classes
    LightGBMExecutionParams
  178. def getTopK: Int
    Definition Classes
    LightGBMExecutionParams
  179. def getTopRate: Double
    Definition Classes
    LightGBMLearnerParams
  180. 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
    LightGBMClassifierLightGBMBase
  181. def getTrainingCols: Array[(String, Seq[DataType])]
    Attributes
    protected
    Definition Classes
    LightGBMBase
  182. def getUniformDrop: Boolean
    Definition Classes
    LightGBMDartParams
  183. def getUseBarrierExecutionMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  184. def getUseMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  185. def getUseSingleDatasetMode: Boolean
    Definition Classes
    LightGBMExecutionParams
  186. def getValidationIndicatorCol: String

    Definition Classes
    HasValidationIndicatorCol
  187. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  188. def getWeightCol: String

    Definition Classes
    HasWeightCol
  189. def getXGBoostDartMode: Boolean
    Definition Classes
    LightGBMDartParams
  190. def getZeroAsMissing: Boolean
    Definition Classes
    LightGBMDatasetParams
  191. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  192. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  193. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  194. val improvementTolerance: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  195. def initPerformanceMeasures(batchCount: Int): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  196. val initScoreCol: Param[String]

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol
  197. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  198. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  199. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  200. val isEnableSparse: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  201. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  202. val isProvideTrainingMetric: BooleanParam
    Definition Classes
    LightGBMParams
  203. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  204. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  205. val isUnbalance: BooleanParam
  206. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  207. val lambdaL1: DoubleParam
    Definition Classes
    LightGBMParams
  208. val lambdaL2: DoubleParam
    Definition Classes
    LightGBMParams
  209. val leafPredictionCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  210. val learningRate: DoubleParam
    Definition Classes
    LightGBMParams
  211. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  212. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  213. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  214. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  215. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  216. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  217. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  218. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  219. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  220. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  221. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  222. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  223. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  224. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  225. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  226. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  227. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  228. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  229. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  230. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  231. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  232. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  233. val matrixType: Param[String]
    Definition Classes
    LightGBMExecutionParams
  234. val maxBin: IntParam
    Definition Classes
    LightGBMBinParams
  235. val maxBinByFeature: IntArrayParam
    Definition Classes
    LightGBMParams
  236. val maxCatThreshold: IntParam
    Definition Classes
    LightGBMCategoricalParams
  237. val maxCatToOnehot: IntParam
    Definition Classes
    LightGBMCategoricalParams
  238. val maxDeltaStep: DoubleParam
    Definition Classes
    LightGBMParams
  239. val maxDepth: IntParam
    Definition Classes
    LightGBMParams
  240. val maxDrop: IntParam
    Definition Classes
    LightGBMDartParams
  241. val maxNumClasses: IntParam
    Definition Classes
    LightGBMParams
  242. val maxStreamingOMPThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  243. val metric: Param[String]
    Definition Classes
    LightGBMParams
  244. val microBatchSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  245. val minDataInLeaf: IntParam
    Definition Classes
    LightGBMParams
  246. val minDataPerBin: IntParam
    Definition Classes
    LightGBMParams
  247. val minDataPerGroup: IntParam
    Definition Classes
    LightGBMCategoricalParams
  248. val minGainToSplit: DoubleParam
    Definition Classes
    LightGBMParams
  249. val minSumHessianInLeaf: DoubleParam
    Definition Classes
    LightGBMParams
  250. val modelString: Param[String]
    Definition Classes
    LightGBMParams
  251. val monotoneConstraints: IntArrayParam
    Definition Classes
    LightGBMLearnerParams
  252. val monotoneConstraintsMethod: Param[String]
    Definition Classes
    LightGBMLearnerParams
  253. val monotonePenalty: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  254. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  255. val negBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  256. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  257. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  258. val numBatches: IntParam
    Definition Classes
    LightGBMExecutionParams
  259. val numIterations: IntParam
    Definition Classes
    LightGBMParams
  260. val numLeaves: IntParam
    Definition Classes
    LightGBMParams
  261. val numTasks: IntParam
    Definition Classes
    LightGBMExecutionParams
  262. val numThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  263. val objective: Param[String]
    Definition Classes
    LightGBMObjectiveParams
  264. val objectiveSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  265. val otherRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  266. val parallelism: Param[String]
    Definition Classes
    LightGBMExecutionParams
  267. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  268. val passThroughArgs: Param[String]
    Definition Classes
    LightGBMExecutionParams
  269. val posBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  270. val predictDisableShapeCheck: BooleanParam
    Definition Classes
    LightGBMPredictionParams
  271. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  272. def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  273. 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
  274. final val probabilityCol: Param[String]
    Definition Classes
    HasProbabilityCol
  275. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  276. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  277. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  278. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  279. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  280. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  281. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  282. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  283. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  284. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  285. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  286. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  287. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  288. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  289. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  290. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  291. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  292. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  293. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  294. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  295. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  296. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  297. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  298. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  299. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  300. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  301. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  302. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  303. final val rawPredictionCol: Param[String]
    Definition Classes
    HasRawPredictionCol
  304. val referenceDataset: ByteArrayParam
    Definition Classes
    LightGBMExecutionParams
  305. val repartitionByGroupingColumn: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  306. val samplingMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  307. val samplingSubsetSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  308. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  309. val seed: IntParam
    Definition Classes
    LightGBMSeedParams
  310. final def set(paramPair: ParamPair[_]): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  311. final def set(param: String, value: Any): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  312. final def set[T](param: Param[T], value: T): LightGBMClassifier.this.type
    Definition Classes
    Params
  313. def setBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  314. def setBaggingFreq(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  315. def setBaggingSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  316. def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  317. def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  318. def setBinSampleCount(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMBinParams
  319. def setBoostFromAverage(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  320. def setBoostingType(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  321. def setCatSmooth(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  322. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  323. def setCategoricalSlotNames(value: Array[String]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  324. def setCatl2(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  325. def setChunkSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  326. def setDataRandomSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  327. def setDataTransferMode(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  328. final def setDefault(paramPairs: ParamPair[_]*): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  329. final def setDefault[T](param: Param[T], value: T): LightGBMClassifier.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  330. def setDefaultListenPort(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  331. def setDelegate(delegate: LightGBMDelegate): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  332. def setDeterministic(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  333. def setDriverListenPort(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  334. def setDropRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  335. def setDropSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  336. def setEarlyStoppingRound(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  337. def setExtraSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  338. def setFObj(value: FObjTrait): LightGBMClassifier.this.type
    Definition Classes
    LightGBMObjectiveParams
  339. def setFeatureFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  340. def setFeatureFractionByNode(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  341. def setFeatureFractionSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  342. def setFeaturesCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  343. def setFeaturesShapCol(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  344. def setImprovementTolerance(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  345. def setInitScoreCol(value: String): LightGBMClassifier.this.type

    Definition Classes
    HasInitScoreCol
  346. def setIsEnableSparse(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  347. def setIsProvideTrainingMetric(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  348. def setIsUnbalance(value: Boolean): LightGBMClassifier.this.type
  349. def setLabelCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  350. def setLambdaL1(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  351. def setLambdaL2(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  352. def setLeafPredictionCol(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  353. def setLearningRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  354. def setMatrixType(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  355. def setMaxBin(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMBinParams
  356. def setMaxBinByFeature(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  357. def setMaxCatThreshold(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  358. def setMaxCatToOnehot(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  359. def setMaxDeltaStep(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  360. def setMaxDepth(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  361. def setMaxDrop(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  362. def setMaxNumClasses(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  363. def setMaxStreamingOMPThreads(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  364. def setMetric(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  365. def setMicroBatchSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  366. def setMinDataInLeaf(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  367. def setMinDataPerBin(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  368. def setMinDataPerGroup(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  369. def setMinGainToSplit(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  370. def setMinSumHessianInLeaf(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  371. def setModelString(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  372. def setMonotoneConstraints(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  373. def setMonotoneConstraintsMethod(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  374. def setMonotonePenalty(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  375. def setNegBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  376. def setNumBatches(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  377. def setNumIterations(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  378. def setNumLeaves(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  379. def setNumTasks(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  380. def setNumThreads(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  381. def setObjective(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMObjectiveParams
  382. def setObjectiveSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  383. def setOtherRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  384. def setParallelism(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  385. def setPassThroughArgs(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  386. def setPosBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  387. def setPredictDisableShapeCheck(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  388. def setPredictionCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  389. def setProbabilityCol(value: String): LightGBMClassifier
    Definition Classes
    ProbabilisticClassifier
  390. def setRawPredictionCol(value: String): LightGBMClassifier
    Definition Classes
    Classifier
  391. def setReferenceDataset(value: Array[Byte]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  392. def setRepartitionByGroupingColumn(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  393. def setSamplingMode(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  394. def setSamplingSubsetSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  395. def setSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  396. def setSkipDrop(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  397. def setSlotNames(value: Array[String]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  398. def setThresholds(value: Array[Double]): LightGBMClassifier
    Definition Classes
    ProbabilisticClassifier
  399. def setTimeout(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  400. def setTopK(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  401. def setTopRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  402. def setUniformDrop(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  403. def setUseBarrierExecutionMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  404. def setUseMissing(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  405. def setUseSingleDatasetMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  406. def setValidationIndicatorCol(value: String): LightGBMClassifier.this.type

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

    Definition Classes
    HasWeightCol
  409. def setXGBoostDartMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  410. def setZeroAsMissing(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  411. val skipDrop: DoubleParam
    Definition Classes
    LightGBMDartParams
  412. val slotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  413. def stringFromTrainedModel(model: LightGBMClassificationModel): String
    Definition Classes
    LightGBMClassifierLightGBMBase
  414. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  415. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  416. val thresholds: DoubleArrayParam
    Definition Classes
    HasThresholds
  417. val timeout: DoubleParam
    Definition Classes
    LightGBMExecutionParams
  418. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  419. val topK: IntParam
    Definition Classes
    LightGBMExecutionParams
  420. val topRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  421. 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
  422. def transformSchema(schema: StructType): StructType
    Definition Classes
    Predictor → PipelineStage
  423. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  424. val uid: String
    Definition Classes
    LightGBMClassifierSynapseMLLogging → Identifiable
  425. val uniformDrop: BooleanParam
    Definition Classes
    LightGBMDartParams
  426. val useBarrierExecutionMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  427. val useMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  428. val useSingleDatasetMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  429. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams
  430. val validationIndicatorCol: Param[String]

    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol
  431. val verbosity: IntParam
    Definition Classes
    LightGBMParams
  432. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  433. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  434. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  435. val weightCol: Param[String]

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  436. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  437. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  438. 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 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 DotnetWrappable

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