Class

org.incal.spark_ml.models.classification

MultiLayerPerceptron

Related Doc: package classification

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case class MultiLayerPerceptron(_id: Option[BSONObjectID] = None, hiddenLayers: Seq[Int], maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), blockSize: ValueOrSeq[Int] = Left(None), solver: Option[MLPSolver.Value] = None, seed: Option[Long] = None, stepSize: ValueOrSeq[Double] = Left(None), name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date()) extends Classifier with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Classifier, AnyRef, Any
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  1. MultiLayerPerceptron
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Classifier
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new MultiLayerPerceptron(_id: Option[BSONObjectID] = None, hiddenLayers: Seq[Int], maxIteration: ValueOrSeq[Int] = Left(None), tolerance: ValueOrSeq[Double] = Left(None), blockSize: ValueOrSeq[Int] = Left(None), solver: Option[MLPSolver.Value] = None, seed: Option[Long] = None, stepSize: ValueOrSeq[Double] = Left(None), name: Option[String] = None, createdById: Option[BSONObjectID] = None, timeCreated: Date = new Date())

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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 ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. val _id: Option[BSONObjectID]

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    Definition Classes
    MultiLayerPerceptron → Classifier

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val blockSize: ValueOrSeq[Int]

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  7. def clone(): AnyRef

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

  8. val createdById: Option[BSONObjectID]

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    Definition Classes
    MultiLayerPerceptron → Classifier

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

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  12. val hiddenLayers: Seq[Int]

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  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  14. val maxIteration: ValueOrSeq[Int]

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  15. val name: Option[String]

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    Definition Classes
    MultiLayerPerceptron → Classifier

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. val seed: Option[Long]

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  20. val solver: Option[MLPSolver.Value]

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  21. val stepSize: ValueOrSeq[Double]

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

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    Definition Classes
    AnyRef

  23. val timeCreated: Date

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    Definition Classes
    MultiLayerPerceptron → Classifier

  24. val tolerance: ValueOrSeq[Double]

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  25. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Classifier

Inherited from AnyRef

Inherited from Any

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