Object/Class

com.johnsnowlabs.nlp.annotators.re

RelationExtractionModel

Related Docs: class RelationExtractionModel | package re

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object RelationExtractionModel extends ReadsGenericClassifierGraph[RelationExtractionModel] with ReadablePretrainedGenericClassifier[RelationExtractionModel] with Serializable

Linear Supertypes
Serializable, Serializable, ReadablePretrainedGenericClassifier[RelationExtractionModel], HasPretrained[RelationExtractionModel], ReadsGenericClassifierGraph[RelationExtractionModel], ReadTensorflowModel, ParamsAndFeaturesReadable[RelationExtractionModel], DefaultParamsReadable[RelationExtractionModel], MLReadable[RelationExtractionModel], AnyRef, Any
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Inherited
  1. RelationExtractionModel
  2. Serializable
  3. Serializable
  4. ReadablePretrainedGenericClassifier
  5. HasPretrained
  6. ReadsGenericClassifierGraph
  7. ReadTensorflowModel
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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Visibility
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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. def addReader(reader: (RelationExtractionModel, 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. val defaultLang: String

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    Definition Classes
    HasPretrained

  8. val defaultLoc: String

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    Definition Classes
    HasPretrained

  9. val defaultModelName: Some[String]

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    Definition Classes
    ReadablePretrainedGenericClassifier → HasPretrained

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

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    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  12. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  16. def load(path: String): RelationExtractionModel

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    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )

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

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    Definition Classes
    AnyRef

  18. final def notify(): Unit

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    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  20. def pretrained(name: String, lang: String, remoteLoc: String): RelationExtractionModel

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    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained

  21. def pretrained(name: String, lang: String): RelationExtractionModel

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    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained

  22. def pretrained(name: String): RelationExtractionModel

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    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained

  23. def pretrained(): RelationExtractionModel

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    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedGenericClassifier → HasPretrained

  24. def read: MLReader[RelationExtractionModel]

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    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

  25. def readGenericClassifierGraph(instance: GenericClassifierModel, path: String, spark: SparkSession): Unit

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    Definition Classes
    RelationExtractionModel → ReadsGenericClassifierGraph

  26. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper

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    Definition Classes
    ReadTensorflowModel

  27. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper

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    Definition Classes
    ReadTensorflowModel

  28. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper

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    Definition Classes
    ReadTensorflowModel

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

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    Definition Classes
    AnyRef

  30. val tfFile: String

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    Definition Classes
    ReadsGenericClassifierGraph → ReadTensorflowModel

  31. def toString(): String

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    Definition Classes
    AnyRef → Any

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from ReadablePretrainedGenericClassifier[RelationExtractionModel]

Inherited from HasPretrained[RelationExtractionModel]

Inherited from ReadsGenericClassifierGraph[RelationExtractionModel]

Inherited from ReadTensorflowModel

Inherited from ParamsAndFeaturesReadable[RelationExtractionModel]

Inherited from DefaultParamsReadable[RelationExtractionModel]

Inherited from MLReadable[RelationExtractionModel]

Inherited from AnyRef

Inherited from Any

Ungrouped