Class

com.johnsnowlabs.nlp.annotators.pos.perceptron

SerializedPerceptronModel

Related Doc: package perceptron

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case class SerializedPerceptronModel(tags: List[String], wordBook: List[(String, String)], featuresWeight: Map[String, Map[String, Double]], lastIteration: Int) extends SerializedAnnotatorComponent[AveragedPerceptron] with Product with Serializable

Serialized representation of PerceptronApproach Converting mutable types and arrays into serializable lists

tags

unique set of POS-tags stored

wordBook

book that contains non-ambiguous tags

featuresWeight

features that contain a context and frequency of appearance based on training

lastIteration

last iteration run on training, useful for weighting

Linear Supertypes
Serializable, Serializable, Product, Equals, SerializedAnnotatorComponent[AveragedPerceptron], AnyRef, Any
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Inherited
  1. SerializedPerceptronModel
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. SerializedAnnotatorComponent
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new SerializedPerceptronModel(tags: List[String], wordBook: List[(String, String)], featuresWeight: Map[String, Map[String, Double]], lastIteration: Int)

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    tags

    unique set of POS-tags stored

    wordBook

    book that contains non-ambiguous tags

    featuresWeight

    features that contain a context and frequency of appearance based on training

    lastIteration

    last iteration run on training, useful for weighting

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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. def deserialize: AveragedPerceptron

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    Puts back the read content into the original form of com.johnsnowlabs.nlp.annotators.pos.perceptron.PerceptronApproach and its contained AveragedPerceptron

    Puts back the read content into the original form of com.johnsnowlabs.nlp.annotators.pos.perceptron.PerceptronApproach and its contained AveragedPerceptron

    Definition Classes
    SerializedPerceptronModel → SerializedAnnotatorComponent

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

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    Definition Classes
    AnyRef

  8. val featuresWeight: Map[String, Map[String, Double]]

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    features that contain a context and frequency of appearance based on training

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  12. val lastIteration: Int

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    last iteration run on training, useful for weighting

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    AnyRef

  17. val tags: List[String]

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    unique set of POS-tags stored

  18. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  21. val wordBook: List[(String, String)]

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    book that contains non-ambiguous tags

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from SerializedAnnotatorComponent[AveragedPerceptron]

Inherited from AnyRef

Inherited from Any

Ungrouped