Class/Object

org.apache.spark.ml.classification.odkl

RandomForestClassifier

Related Docs: object RandomForestClassifier | package odkl

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class RandomForestClassifier extends Estimator[RfClassificationModelWrapper] with SummarizableEstimator[RfClassificationModelWrapper] with ProbabilisticClassifierParams with DefaultParamsWritable with RandomForestClassifierParams with HasFeaturesSignificance

Linear Supertypes
HasFeaturesSignificance, RandomForestClassifierParams, TreeClassifierParams, RandomForestParams, TreeEnsembleParams, DecisionTreeParams, HasSeed, HasCheckpointInterval, DefaultParamsWritable, MLWritable, ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, ClassifierParams, HasRawPredictionCol, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, SummarizableEstimator[RfClassificationModelWrapper], Estimator[RfClassificationModelWrapper], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RandomForestClassifier
  2. HasFeaturesSignificance
  3. RandomForestClassifierParams
  4. TreeClassifierParams
  5. RandomForestParams
  6. TreeEnsembleParams
  7. DecisionTreeParams
  8. HasSeed
  9. HasCheckpointInterval
  10. DefaultParamsWritable
  11. MLWritable
  12. ProbabilisticClassifierParams
  13. HasThresholds
  14. HasProbabilityCol
  15. ClassifierParams
  16. HasRawPredictionCol
  17. PredictorParams
  18. HasPredictionCol
  19. HasFeaturesCol
  20. HasLabelCol
  21. SummarizableEstimator
  22. Estimator
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Visibility
  1. Public
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Instance Constructors

  1. new RandomForestClassifier()

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  2. new RandomForestClassifier(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. val addSignificance: BooleanParam

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  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. val average: String

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    Definition Classes
    HasFeaturesSignificance

  8. final val cacheNodeIds: BooleanParam

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    Definition Classes
    DecisionTreeParams

  9. final val checkpointInterval: IntParam

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    Definition Classes
    HasCheckpointInterval

  10. final def clear(param: Param[_]): RandomForestClassifier.this.type

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    Definition Classes
    Params

  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  12. def copy(extra: ParamMap): SummarizableEstimator[RfClassificationModelWrapper]

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    Definition Classes
    RandomForestClassifier → SummarizableEstimator → Estimator → PipelineStage → Params

  13. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  14. val count: String

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    Definition Classes
    HasFeaturesSignificance

  15. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  16. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  17. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  18. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  19. def explainParams(): String

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    Definition Classes
    Params

  20. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  21. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  22. final val featureSubsetStrategy: Param[String]

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    Definition Classes
    TreeEnsembleParams

  23. val feature_index: String

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    Definition Classes
    HasFeaturesSignificance

  24. val feature_name: String

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    Definition Classes
    HasFeaturesSignificance

  25. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  26. def featuresSignificance: Block

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    Definition Classes
    HasFeaturesSignificance

  27. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  28. def fit(dataset: Dataset[_]): RfClassificationModelWrapper

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    Definition Classes
    RandomForestClassifier → Estimator

  29. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[RfClassificationModelWrapper]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  30. def fit(dataset: Dataset[_], paramMap: ParamMap): RfClassificationModelWrapper

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  31. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RfClassificationModelWrapper

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  32. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  33. final def getCacheNodeIds: Boolean

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    Definition Classes
    DecisionTreeParams

  34. final def getCheckpointInterval: Int

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    Definition Classes
    HasCheckpointInterval

  35. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  36. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  37. final def getFeatureSubsetStrategy: String

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    Definition Classes
    TreeEnsembleParams

  38. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  39. final def getImpurity: String

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    Definition Classes
    TreeClassifierParams

  40. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  41. final def getMaxBins: Int

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    Definition Classes
    DecisionTreeParams

  42. final def getMaxDepth: Int

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    Definition Classes
    DecisionTreeParams

  43. final def getMaxMemoryInMB: Int

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    Definition Classes
    DecisionTreeParams

  44. final def getMinInfoGain: Double

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    Definition Classes
    DecisionTreeParams

  45. final def getMinInstancesPerNode: Int

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    Definition Classes
    DecisionTreeParams

  46. final def getNumTrees: Int

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    Definition Classes
    RandomForestParams

  47. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  48. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  49. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  50. final def getProbabilityCol: String

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    Definition Classes
    HasProbabilityCol

  51. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol

  52. final def getSeed: Long

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    Definition Classes
    HasSeed

  53. final def getSubsamplingRate: Double

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    Definition Classes
    TreeEnsembleParams

  54. def getThresholds: Array[Double]

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    Definition Classes
    HasThresholds

  55. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  56. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  57. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  58. final val impurity: Param[String]

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    Definition Classes
    TreeClassifierParams

  59. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  60. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  61. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  62. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  63. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  64. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  65. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  66. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  67. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  68. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  69. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  70. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  71. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  72. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  73. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  74. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  75. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  76. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  77. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  78. final val maxBins: IntParam

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    Definition Classes
    DecisionTreeParams

  79. final val maxDepth: IntParam

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    Definition Classes
    DecisionTreeParams

  80. final val maxMemoryInMB: IntParam

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    Definition Classes
    DecisionTreeParams

  81. final val minInfoGain: DoubleParam

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    Definition Classes
    DecisionTreeParams

  82. final val minInstancesPerNode: IntParam

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    Definition Classes
    DecisionTreeParams

  83. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  84. final def notify(): Unit

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    Definition Classes
    AnyRef

  85. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  86. final val numTrees: IntParam

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    Definition Classes
    RandomForestParams

  87. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  88. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  89. final val probabilityCol: Param[String]

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    Definition Classes
    HasProbabilityCol

  90. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol

  91. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  92. final val seed: LongParam

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    Definition Classes
    HasSeed

  93. final def set(paramPair: ParamPair[_]): RandomForestClassifier.this.type

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    Attributes
    protected
    Definition Classes
    Params

  94. final def set(param: String, value: Any): RandomForestClassifier.this.type

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    Attributes
    protected
    Definition Classes
    Params

  95. final def set[T](param: Param[T], value: T): RandomForestClassifier.this.type

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    Definition Classes
    Params

  96. def setAddSignificance(value: Boolean): RandomForestClassifier.this.type

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  97. def setCacheNodeIds(value: Boolean): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  98. def setCheckpointInterval(value: Int): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  99. final def setDefault(paramPairs: ParamPair[_]*): RandomForestClassifier.this.type

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    Attributes
    protected
    Definition Classes
    Params

  100. final def setDefault[T](param: Param[T], value: T): RandomForestClassifier.this.type

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    Attributes
    protected
    Definition Classes
    Params

  101. def setFeatureCol(value: String): RandomForestClassifier.this.type

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  102. def setFeatureSubsetStrategy(value: String): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → TreeEnsembleParams

  103. def setImpurity(value: String): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → TreeClassifierParams

  104. def setLabelCol(value: String): RandomForestClassifier.this.type

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  105. def setMaxBins(value: Int): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  106. def setMaxDepth(value: Int): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  107. def setMaxMemoryInMB(value: Int): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  108. def setMinInfoGain(value: Double): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  109. def setMinInstancesPerNode(value: Int): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  110. def setNumTrees(value: Int): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → RandomForestParams

  111. def setSeed(value: Long): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → DecisionTreeParams

  112. def setSubsamplingRate(value: Double): RandomForestClassifier.this.type

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    Definition Classes
    RandomForestClassifier → TreeEnsembleParams

  113. val significance: String

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    Definition Classes
    HasFeaturesSignificance

  114. val stdDev: String

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    Definition Classes
    HasFeaturesSignificance

  115. final val subsamplingRate: DoubleParam

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    Definition Classes
    TreeEnsembleParams

  116. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  117. final val thresholds: DoubleArrayParam

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    Definition Classes
    HasThresholds

  118. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  119. def transformSchema(schema: StructType): StructType

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    Definition Classes
    RandomForestClassifier → PipelineStage

  120. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  121. val uid: String

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    Definition Classes
    RandomForestClassifier → Identifiable

  122. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams

  123. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  124. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  125. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  126. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasFeaturesSignificance

Inherited from RandomForestClassifierParams

Inherited from TreeClassifierParams

Inherited from RandomForestParams

Inherited from TreeEnsembleParams

Inherited from DecisionTreeParams

Inherited from HasSeed

Inherited from HasCheckpointInterval

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from ProbabilisticClassifierParams

Inherited from HasThresholds

Inherited from HasProbabilityCol

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from SummarizableEstimator[RfClassificationModelWrapper]

Inherited from Estimator[RfClassificationModelWrapper]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped