Class/Object

org.apache.spark.ml.classification

BaggingClassificationModel

Related Docs: object BaggingClassificationModel | package classification

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class BaggingClassificationModel extends PredictionModel[Vector, BaggingClassificationModel] with BaggingClassifierParams with MLWritable

Linear Supertypes
MLWritable, BaggingClassifierParams, ClassifierParams, HasRawPredictionCol, BaggingParams, SubSpaceParams, HasSeed, HasBaseLearner, HasWeightCol, HasParallelism, HasMaxIter, PredictionModel[Vector, BaggingClassificationModel], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[BaggingClassificationModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. BaggingClassificationModel
  2. MLWritable
  3. BaggingClassifierParams
  4. ClassifierParams
  5. HasRawPredictionCol
  6. BaggingParams
  7. SubSpaceParams
  8. HasSeed
  9. HasBaseLearner
  10. HasWeightCol
  11. HasParallelism
  12. HasMaxIter
  13. PredictionModel
  14. PredictorParams
  15. HasPredictionCol
  16. HasFeaturesCol
  17. HasLabelCol
  18. Model
  19. Transformer
  20. PipelineStage
  21. Logging
  22. Params
  23. Serializable
  24. Serializable
  25. Identifiable
  26. AnyRef
  27. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BaggingClassificationModel(tuples: Array[(Array[Int], EnsemblePredictionModelType)])

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  2. new BaggingClassificationModel(subSpaces: Array[Array[Int]], models: Array[EnsemblePredictionModelType])

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  3. new BaggingClassificationModel(uid: String, subSpaces: Array[Array[Int]], models: Array[EnsemblePredictionModelType])

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. val baseLearner: Param[EnsemblePredictorType]

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    param for the estimator that will be used by the ensemble learner as a base learner

    param for the estimator that will be used by the ensemble learner as a base learner

    Definition Classes
    HasBaseLearner
  7. final def clear(param: Param[_]): BaggingClassificationModel.this.type

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    Definition Classes
    Params
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def copy(extra: ParamMap): BaggingClassificationModel

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    Definition Classes
    BaggingClassificationModel → Model → Transformer → PipelineStage → Params
  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  12. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  14. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  15. def explainParams(): String

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    Definition Classes
    Params
  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  17. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  18. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol
  19. def featuresDataType: DataType

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    Attributes
    protected
    Definition Classes
    PredictionModel
  20. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  22. def getBaseLearner: EnsemblePredictorType

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    Definition Classes
    HasBaseLearner
  23. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  24. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  25. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol
  26. final def getLabelCol: String

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    Definition Classes
    HasLabelCol
  27. final def getMaxIter: Int

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    Definition Classes
    HasMaxIter
  28. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  29. def getParallelism: Int

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    Definition Classes
    HasParallelism
  30. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  31. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol
  32. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol
  33. def getReplacement: Boolean

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    Definition Classes
    SubSpaceParams
  34. def getReplacementFeatures: Boolean

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    Definition Classes
    SubSpaceParams
  35. def getSampleRatio: Double

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    Definition Classes
    SubSpaceParams
  36. def getSampleRatioFeatures: Double

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    Definition Classes
    SubSpaceParams
  37. final def getSeed: Long

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    Definition Classes
    HasSeed
  38. final def getWeightCol: String

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    Definition Classes
    HasWeightCol
  39. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  40. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  41. def hasParent: Boolean

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    Definition Classes
    Model
  42. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  43. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  44. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  45. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  46. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  47. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  48. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  49. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol
  50. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  51. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  52. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  53. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  54. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  55. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  56. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  57. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  58. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  59. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  60. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  61. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  62. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter
  63. val models: Array[EnsemblePredictionModelType]

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

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    Definition Classes
    AnyRef
  65. final def notify(): Unit

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    Definition Classes
    AnyRef
  66. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  67. def numFeatures: Int

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    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  68. val parallelism: IntParam

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    Definition Classes
    HasParallelism
  69. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  70. var parent: Estimator[BaggingClassificationModel]

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    Definition Classes
    Model
  71. def predict(features: Vector): Double

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    Definition Classes
    BaggingClassificationModel → PredictionModel
  72. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol
  73. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol
  74. val replacement: Param[Boolean]

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    param for whether samples are drawn with replacement

    param for whether samples are drawn with replacement

    Definition Classes
    SubSpaceParams
  75. val replacementFeatures: Param[Boolean]

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    param for whether samples are drawn with replacement

    param for whether samples are drawn with replacement

    Definition Classes
    SubSpaceParams
  76. val sampleRatio: Param[Double]

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    param for ratio of rows sampled out of the dataset

    param for ratio of rows sampled out of the dataset

    Definition Classes
    SubSpaceParams
  77. val sampleRatioFeatures: Param[Double]

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    param for ratio of rows sampled out of the dataset

    param for ratio of rows sampled out of the dataset

    Definition Classes
    SubSpaceParams
  78. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  79. final val seed: LongParam

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    Definition Classes
    HasSeed
  80. final def set(paramPair: ParamPair[_]): BaggingClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  81. final def set(param: String, value: Any): BaggingClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  82. final def set[T](param: Param[T], value: T): BaggingClassificationModel.this.type

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    Definition Classes
    Params
  83. final def setDefault(paramPairs: ParamPair[_]*): BaggingClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  84. final def setDefault[T](param: Param[T], value: T): BaggingClassificationModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  85. def setFeaturesCol(value: String): BaggingClassificationModel

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    Definition Classes
    PredictionModel
  86. def setParent(parent: Estimator[BaggingClassificationModel]): BaggingClassificationModel

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    Definition Classes
    Model
  87. def setPredictionCol(value: String): BaggingClassificationModel

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    Definition Classes
    PredictionModel
  88. val subSpaces: Array[Array[Int]]

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

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    Definition Classes
    AnyRef
  90. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  91. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    PredictionModel → Transformer
  92. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  93. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  94. def transformImpl(dataset: Dataset[_]): DataFrame

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    Attributes
    protected
    Definition Classes
    PredictionModel
  95. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PredictionModel → PipelineStage
  96. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  97. val uid: String

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    Definition Classes
    BaggingClassificationModel → Identifiable
  98. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType

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    Attributes
    protected
    Definition Classes
    ClassifierParams → PredictorParams
  99. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  100. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  101. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  102. final val weightCol: Param[String]

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    Definition Classes
    HasWeightCol
  103. def write: MLWriter

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    Definition Classes
    BaggingClassificationModel → MLWritable

Inherited from MLWritable

Inherited from BaggingClassifierParams

Inherited from ClassifierParams

Inherited from HasRawPredictionCol

Inherited from BaggingParams

Inherited from SubSpaceParams

Inherited from HasSeed

Inherited from HasBaseLearner

Inherited from HasWeightCol

Inherited from HasParallelism

Inherited from HasMaxIter

Inherited from PredictionModel[Vector, BaggingClassificationModel]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Model[BaggingClassificationModel]

Inherited from Transformer

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

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