Object/Class

com.johnsnowlabs.nlp.annotators.ner.dl

NerDLModel

Related Docs: class NerDLModel | package dl

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object NerDLModel extends EmbeddingsReadable[NerDLModel] with ReadsNERGraph with PretrainedNerDL with Serializable

Linear Supertypes
Serializable, Serializable, PretrainedNerDL, ReadsNERGraph, ReadTensorflowModel, EmbeddingsReadable[NerDLModel], ParamsAndFeaturesReadable[NerDLModel], DefaultParamsReadable[NerDLModel], MLReadable[NerDLModel], AnyRef, Any
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Inherited
  1. NerDLModel
  2. Serializable
  3. Serializable
  4. PretrainedNerDL
  5. ReadsNERGraph
  6. ReadTensorflowModel
  7. EmbeddingsReadable
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

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. def addReader(reader: (NerDLModel, String, SparkSession) ⇒ Unit): Unit

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    Definition Classes
    ParamsAndFeaturesReadable

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  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. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. def load(path: String): NerDLModel

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    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. def pretrained(name: String = "ner_precise", language: Option[String] = Some("en"), remoteLoc: String = ResourceDownloader.publicLoc): NerDLModel

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    Definition Classes
    PretrainedNerDL

  18. def read: MLReader[NerDLModel]

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    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

  19. def readEmbeddings(instance: NerDLModel, path: String, spark: SparkSession): Unit

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    Definition Classes
    EmbeddingsReadable

  20. def readNerGraph(instance: NerDLModel, path: String, spark: SparkSession): Unit

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    Definition Classes
    ReadsNERGraph

  21. def readTensorflowModel(path: String, spark: SparkSession, suffix: String): TensorflowWrapper

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    Definition Classes
    ReadTensorflowModel

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

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    Definition Classes
    AnyRef

  23. val tfFile: String

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    Definition Classes
    ReadsNERGraph → ReadTensorflowModel

  24. def toString(): String

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    Definition Classes
    AnyRef → Any

  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
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from PretrainedNerDL

Inherited from ReadsNERGraph

Inherited from ReadTensorflowModel

Inherited from EmbeddingsReadable[NerDLModel]

Inherited from ParamsAndFeaturesReadable[NerDLModel]

Inherited from DefaultParamsReadable[NerDLModel]

Inherited from MLReadable[NerDLModel]

Inherited from AnyRef

Inherited from Any

Ungrouped