Trait

org.apache.spark.ml.classification

OpMultilayerPerceptronClassifierParams

Related Doc: package classification

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trait OpMultilayerPerceptronClassifierParams extends MultilayerPerceptronParams

Linear Supertypes
MultilayerPerceptronParams, HasSolver, HasStepSize, HasTol, HasMaxIter, HasSeed, ProbabilisticClassifierParams, HasThresholds, HasProbabilityCol, ClassifierParams, HasRawPredictionCol, PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
OpMultilayerPerceptronClassifier
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Inherited
  1. OpMultilayerPerceptronClassifierParams
  2. MultilayerPerceptronParams
  3. HasSolver
  4. HasStepSize
  5. HasTol
  6. HasMaxIter
  7. HasSeed
  8. ProbabilisticClassifierParams
  9. HasThresholds
  10. HasProbabilityCol
  11. ClassifierParams
  12. HasRawPredictionCol
  13. PredictorParams
  14. HasPredictionCol
  15. HasFeaturesCol
  16. HasLabelCol
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params

  2. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete Value Members

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

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    Definition Classes
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  2. final def ##(): Int

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

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    protected
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    Params

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

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final val blockSize: IntParam

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    Definition Classes
    MultilayerPerceptronParams
    Annotations
    @Since( "1.5.0" )

  7. final def clear(param: Param[_]): OpMultilayerPerceptronClassifierParams.this.type

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    Definition Classes
    Params

  8. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

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    Params

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

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    Params

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

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    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
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  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  17. final val featuresCol: Param[String]

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    Definition Classes
    HasFeaturesCol

  18. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    Params

  20. final def getBlockSize: Int

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    Definition Classes
    MultilayerPerceptronParams
    Annotations
    @Since( "1.5.0" )

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

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    Definition Classes
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  22. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  23. final def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol

  24. final def getInitialWeights: Vector

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    Definition Classes
    MultilayerPerceptronParams
    Annotations
    @Since( "2.0.0" )

  25. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  26. final def getLayers: Array[Int]

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    Definition Classes
    MultilayerPerceptronParams
    Annotations
    @Since( "1.5.0" )

  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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    Params

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

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    Definition Classes
    Params

  30. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  31. final def getProbabilityCol: String

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    Definition Classes
    HasProbabilityCol

  32. final def getRawPredictionCol: String

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    Definition Classes
    HasRawPredictionCol

  33. final def getSeed: Long

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    Definition Classes
    HasSeed

  34. final def getSolver: String

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    Definition Classes
    HasSolver

  35. final def getStepSize: Double

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    Definition Classes
    HasStepSize

  36. def getThresholds: Array[Double]

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    Definition Classes
    HasThresholds

  37. final def getTol: Double

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    Definition Classes
    HasTol

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

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    Definition Classes
    Params

  39. def hasParam(paramName: String): Boolean

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    Params

  40. def hashCode(): Int

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    Definition Classes
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  41. final val initialWeights: Param[Vector]

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    Definition Classes
    MultilayerPerceptronParams
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Params

  43. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Definition Classes
    Params

  45. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  46. final val layers: IntArrayParam

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    Definition Classes
    MultilayerPerceptronParams
    Annotations
    @Since( "1.5.0" )

  47. final val maxIter: IntParam

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    Definition Classes
    HasMaxIter

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

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    AnyRef

  49. final def notify(): Unit

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  50. final def notifyAll(): Unit

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    AnyRef

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

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    Definition Classes
    Params

  52. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  53. final val probabilityCol: Param[String]

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    Definition Classes
    HasProbabilityCol

  54. final val rawPredictionCol: Param[String]

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    Definition Classes
    HasRawPredictionCol

  55. final val seed: LongParam

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    Definition Classes
    HasSeed

  56. final def set(paramPair: ParamPair[_]): OpMultilayerPerceptronClassifierParams.this.type

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    Params

  57. final def set(param: String, value: Any): OpMultilayerPerceptronClassifierParams.this.type

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    Params

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

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    Definition Classes
    Params

  59. final def setDefault(paramPairs: ParamPair[_]*): OpMultilayerPerceptronClassifierParams.this.type

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    Params

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

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    protected
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    Params

  61. final val solver: Param[String]

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    Definition Classes
    MultilayerPerceptronParams → HasSolver
    Annotations
    @Since( "2.0.0" )

  62. val stepSize: DoubleParam

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    Definition Classes
    HasStepSize

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

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    Definition Classes
    AnyRef

  64. final val thresholds: DoubleArrayParam

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    Definition Classes
    HasThresholds

  65. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  66. final val tol: DoubleParam

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    Definition Classes
    HasTol

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

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    Attributes
    protected
    Definition Classes
    ProbabilisticClassifierParams → ClassifierParams → PredictorParams

  68. final def wait(): Unit

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    AnyRef
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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from MultilayerPerceptronParams

Inherited from HasSolver

Inherited from HasStepSize

Inherited from HasTol

Inherited from HasMaxIter

Inherited from HasSeed

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 Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped