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, DotnetWrappable, 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. 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
    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. 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. def extractInstances(dataset: Dataset[_], numClasses: Int): RDD[Instance]
    Attributes
    protected
    Definition Classes
    ClassifierParams
  61. def extractInstances(dataset: Dataset[_], validateInstance: (Instance) ⇒ Unit): RDD[Instance]
    Attributes
    protected
    Definition Classes
    PredictorParams
  62. def extractInstances(dataset: Dataset[_]): RDD[Instance]
    Attributes
    protected
    Definition Classes
    PredictorParams
  63. def extractLabeledPoints(dataset: Dataset[_], numClasses: Int): RDD[LabeledPoint]
    Attributes
    protected
    Definition Classes
    Classifier
  64. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]
    Attributes
    protected
    Definition Classes
    Predictor
  65. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  66. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  67. val featureFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  68. val featureFractionByNode: DoubleParam
    Definition Classes
    LightGBMFractionParams
  69. val featureFractionSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  70. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  71. val featuresShapCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  72. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  73. def fit(dataset: Dataset[_]): LightGBMClassificationModel
    Definition Classes
    Predictor → Estimator
  74. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[LightGBMClassificationModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  75. def fit(dataset: Dataset[_], paramMap: ParamMap): LightGBMClassificationModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  76. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): LightGBMClassificationModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  77. val fobj: FObjParam
    Definition Classes
    LightGBMObjectiveParams
  78. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  79. def getAllPerformanceMeasures: Option[Array[InstrumentationMeasures]]
    Definition Classes
    LightGBMPerformance
  80. def getBaggingFraction: Double
    Definition Classes
    LightGBMFractionParams
  81. def getBaggingFreq: Int
    Definition Classes
    LightGBMParams
  82. def getBaggingSeed: Int
    Definition Classes
    LightGBMSeedParams
  83. def getBinSampleCount: Int
    Definition Classes
    LightGBMBinParams
  84. def getBoostFromAverage: Boolean
    Definition Classes
    LightGBMParams
  85. def getBoostingType: String
    Definition Classes
    LightGBMParams
  86. def getCatSmooth: Double
    Definition Classes
    LightGBMCategoricalParams
  87. 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
  88. 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
  89. def getCategoricalSlotIndexes: Array[Int]
    Definition Classes
    LightGBMSlotParams
  90. def getCategoricalSlotNames: Array[String]
    Definition Classes
    LightGBMSlotParams
  91. def getCatl2: Double
    Definition Classes
    LightGBMCategoricalParams
  92. def getChunkSize: Int
    Definition Classes
    LightGBMExecutionParams
  93. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  94. def getColumnParams: ColumnParams

    Constructs the ColumnParams.

    Constructs the ColumnParams.

    returns

    ColumnParams object containing the parameters related to LightGBM columns.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  95. def getDartParams: DartModeParams

    Constructs the DartModeParams

    Constructs the DartModeParams

    returns

    DartModeParams object containing parameters related to dart mode.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  96. def getDataRandomSeed: Int
    Definition Classes
    LightGBMSeedParams
  97. def getDataTransferMode: String
    Definition Classes
    LightGBMExecutionParams
  98. def getDatasetCreationParams(categoricalIndexes: Array[Int], numThreads: Int): String
    Attributes
    protected
    Definition Classes
    LightGBMBase
  99. def getDatasetParams: DatasetParams

    Constructs the DatasetParams.

    Constructs the DatasetParams.

    returns

    DatasetParams object containing parameters related to LightGBM Dataset parameters.

    Attributes
    protected
    Definition Classes
    LightGBMBase
  100. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  101. def getDefaultListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  102. def getDelegate: Option[LightGBMDelegate]
    Definition Classes
    LightGBMParams
  103. def getDeterministic: Boolean
    Definition Classes
    LightGBMSeedParams
  104. def getDriverListenPort: Int
    Definition Classes
    LightGBMExecutionParams
  105. def getDropRate: Double
    Definition Classes
    LightGBMDartParams
  106. def getDropSeed: Int
    Definition Classes
    LightGBMSeedParams
  107. def getEarlyStoppingRound: Int
    Definition Classes
    LightGBMLearnerParams
  108. 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
  109. def getExtraSeed: Int
    Definition Classes
    LightGBMSeedParams
  110. def getFObj: FObjTrait
    Definition Classes
    LightGBMObjectiveParams
  111. def getFeatureFraction: Double
    Definition Classes
    LightGBMFractionParams
  112. def getFeatureFractionByNode: Double
    Definition Classes
    LightGBMFractionParams
  113. def getFeatureFractionSeed: Int
    Definition Classes
    LightGBMSeedParams
  114. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  115. def getFeaturesShapCol: String
    Definition Classes
    LightGBMPredictionParams
  116. 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
  117. def getImprovementTolerance: Double
    Definition Classes
    LightGBMLearnerParams
  118. def getInitScoreCol: String

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

    Constructs the ObjectiveParams.

    Constructs the ObjectiveParams.

    returns

    ObjectiveParams object containing parameters related to the objective function.

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

    Definition Classes
    HasValidationIndicatorCol
  191. def getVerbosity: Int
    Definition Classes
    LightGBMParams
  192. def getWeightCol: String

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

    The name of the initial score column

    The name of the initial score column

    Definition Classes
    HasInitScoreCol
  201. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  202. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  203. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  204. val isEnableSparse: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  205. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  206. val isProvideTrainingMetric: BooleanParam
    Definition Classes
    LightGBMParams
  207. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  208. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  209. val isUnbalance: BooleanParam
  210. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  211. val lambdaL1: DoubleParam
    Definition Classes
    LightGBMParams
  212. val lambdaL2: DoubleParam
    Definition Classes
    LightGBMParams
  213. val leafPredictionCol: Param[String]
    Definition Classes
    LightGBMPredictionParams
  214. val learningRate: DoubleParam
    Definition Classes
    LightGBMParams
  215. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  216. def logBase(info: SynapseMLLogInfo): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  217. def logBase(methodName: String, columns: Option[Int]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  218. def logClass(): Unit
    Definition Classes
    SynapseMLLogging
  219. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  220. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  221. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  222. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  223. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  224. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  225. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  226. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  227. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  228. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  229. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  230. def logTrain[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  231. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  232. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  233. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  234. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  235. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  236. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  237. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  238. val matrixType: Param[String]
    Definition Classes
    LightGBMExecutionParams
  239. val maxBin: IntParam
    Definition Classes
    LightGBMBinParams
  240. val maxBinByFeature: IntArrayParam
    Definition Classes
    LightGBMParams
  241. val maxCatThreshold: IntParam
    Definition Classes
    LightGBMCategoricalParams
  242. val maxCatToOnehot: IntParam
    Definition Classes
    LightGBMCategoricalParams
  243. val maxDeltaStep: DoubleParam
    Definition Classes
    LightGBMParams
  244. val maxDepth: IntParam
    Definition Classes
    LightGBMParams
  245. val maxDrop: IntParam
    Definition Classes
    LightGBMDartParams
  246. val maxNumClasses: IntParam
    Definition Classes
    LightGBMParams
  247. val maxStreamingOMPThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  248. val metric: Param[String]
    Definition Classes
    LightGBMParams
  249. val microBatchSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  250. val minDataInLeaf: IntParam
    Definition Classes
    LightGBMParams
  251. val minDataPerBin: IntParam
    Definition Classes
    LightGBMParams
  252. val minDataPerGroup: IntParam
    Definition Classes
    LightGBMCategoricalParams
  253. val minGainToSplit: DoubleParam
    Definition Classes
    LightGBMParams
  254. val minSumHessianInLeaf: DoubleParam
    Definition Classes
    LightGBMParams
  255. val modelString: Param[String]
    Definition Classes
    LightGBMParams
  256. val monotoneConstraints: IntArrayParam
    Definition Classes
    LightGBMLearnerParams
  257. val monotoneConstraintsMethod: Param[String]
    Definition Classes
    LightGBMLearnerParams
  258. val monotonePenalty: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  259. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  260. val negBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  261. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  262. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  263. val numBatches: IntParam
    Definition Classes
    LightGBMExecutionParams
  264. val numIterations: IntParam
    Definition Classes
    LightGBMParams
  265. val numLeaves: IntParam
    Definition Classes
    LightGBMParams
  266. val numTasks: IntParam
    Definition Classes
    LightGBMExecutionParams
  267. val numThreads: IntParam
    Definition Classes
    LightGBMExecutionParams
  268. val objective: Param[String]
    Definition Classes
    LightGBMObjectiveParams
  269. val objectiveSeed: IntParam
    Definition Classes
    LightGBMSeedParams
  270. val otherRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  271. val parallelism: Param[String]
    Definition Classes
    LightGBMExecutionParams
  272. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  273. val passThroughArgs: Param[String]
    Definition Classes
    LightGBMExecutionParams
  274. val posBaggingFraction: DoubleParam
    Definition Classes
    LightGBMFractionParams
  275. val predictDisableShapeCheck: BooleanParam
    Definition Classes
    LightGBMPredictionParams
  276. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  277. def prepareDataframe(dataset: Dataset[_], numTasks: Int): DataFrame
    Attributes
    protected
    Definition Classes
    LightGBMBase
  278. 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
  279. final val probabilityCol: Param[String]
    Definition Classes
    HasProbabilityCol
  280. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  281. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  282. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  283. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  284. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  285. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  286. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  287. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  288. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  289. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  290. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  291. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  292. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  293. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  294. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  295. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  296. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  297. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  298. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  299. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  300. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  301. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  302. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  303. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  304. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  305. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  306. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  307. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  308. final val rawPredictionCol: Param[String]
    Definition Classes
    HasRawPredictionCol
  309. val referenceDataset: ByteArrayParam
    Definition Classes
    LightGBMExecutionParams
  310. val repartitionByGroupingColumn: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  311. val samplingMode: Param[String]
    Definition Classes
    LightGBMExecutionParams
  312. val samplingSubsetSize: IntParam
    Definition Classes
    LightGBMExecutionParams
  313. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  314. val seed: IntParam
    Definition Classes
    LightGBMSeedParams
  315. final def set(paramPair: ParamPair[_]): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  316. final def set(param: String, value: Any): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  317. final def set[T](param: Param[T], value: T): LightGBMClassifier.this.type
    Definition Classes
    Params
  318. def setBaggingFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  319. def setBaggingFreq(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  320. def setBaggingSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  321. def setBatchPerformanceMeasure(index: Int, measures: InstrumentationMeasures): Unit
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  322. def setBatchPerformanceMeasures(measures: Array[Option[InstrumentationMeasures]]): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    LightGBMPerformance
  323. def setBinSampleCount(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMBinParams
  324. def setBoostFromAverage(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  325. def setBoostingType(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  326. def setCatSmooth(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  327. def setCategoricalSlotIndexes(value: Array[Int]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  328. def setCategoricalSlotNames(value: Array[String]): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSlotParams
  329. def setCatl2(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMCategoricalParams
  330. def setChunkSize(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  331. def setDataRandomSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  332. def setDataTransferMode(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  333. final def setDefault(paramPairs: ParamPair[_]*): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  334. final def setDefault[T](param: Param[T], value: T): LightGBMClassifier.this.type
    Attributes
    protected
    Definition Classes
    Params
  335. def setDefaultListenPort(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  336. def setDelegate(delegate: LightGBMDelegate): LightGBMClassifier.this.type
    Definition Classes
    LightGBMParams
  337. def setDeterministic(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  338. def setDriverListenPort(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMExecutionParams
  339. def setDropRate(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  340. def setDropSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  341. def setEarlyStoppingRound(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  342. def setExtraSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  343. def setFObj(value: FObjTrait): LightGBMClassifier.this.type
    Definition Classes
    LightGBMObjectiveParams
  344. def setFeatureFraction(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  345. def setFeatureFractionByNode(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMFractionParams
  346. def setFeatureFractionSeed(value: Int): LightGBMClassifier.this.type
    Definition Classes
    LightGBMSeedParams
  347. def setFeaturesCol(value: String): LightGBMClassifier
    Definition Classes
    Predictor
  348. def setFeaturesShapCol(value: String): LightGBMClassifier.this.type
    Definition Classes
    LightGBMPredictionParams
  349. def setImprovementTolerance(value: Double): LightGBMClassifier.this.type
    Definition Classes
    LightGBMLearnerParams
  350. def setInitScoreCol(value: String): LightGBMClassifier.this.type

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

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

    Definition Classes
    HasWeightCol
  414. def setXGBoostDartMode(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDartParams
  415. def setZeroAsMissing(value: Boolean): LightGBMClassifier.this.type
    Definition Classes
    LightGBMDatasetParams
  416. val skipDrop: DoubleParam
    Definition Classes
    LightGBMDartParams
  417. val slotNames: StringArrayParam
    Definition Classes
    LightGBMSlotParams
  418. def stringFromTrainedModel(model: LightGBMClassificationModel): String
    Definition Classes
    LightGBMClassifier → LightGBMBase
  419. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  420. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  421. val thresholds: DoubleArrayParam
    Definition Classes
    HasThresholds
  422. val timeout: DoubleParam
    Definition Classes
    LightGBMExecutionParams
  423. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  424. val topK: IntParam
    Definition Classes
    LightGBMExecutionParams
  425. val topRate: DoubleParam
    Definition Classes
    LightGBMLearnerParams
  426. 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
  427. def transformSchema(schema: StructType): StructType
    Definition Classes
    Predictor → PipelineStage
  428. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  429. val uid: String
    Definition Classes
    LightGBMClassifier → SynapseMLLogging → Identifiable
  430. val uniformDrop: BooleanParam
    Definition Classes
    LightGBMDartParams
  431. val useBarrierExecutionMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  432. val useMissing: BooleanParam
    Definition Classes
    LightGBMDatasetParams
  433. val useSingleDatasetMode: BooleanParam
    Definition Classes
    LightGBMExecutionParams
  434. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams
  435. def validateLabel(label: Double, numClasses: Int): Unit
    Attributes
    protected
    Definition Classes
    Classifier
  436. def validateNumClasses(numClasses: Int): Unit
    Attributes
    protected
    Definition Classes
    Classifier
  437. val validationIndicatorCol: Param[String]

    The name of the validation indicator column

    The name of the validation indicator column

    Definition Classes
    HasValidationIndicatorCol
  438. val verbosity: IntParam
    Definition Classes
    LightGBMParams
  439. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  440. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  441. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  442. val weightCol: Param[String]

    The name of the weight column

    The name of the weight column

    Definition Classes
    HasWeightCol
  443. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable
  444. val xGBoostDartMode: BooleanParam
    Definition Classes
    LightGBMDartParams
  445. 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 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