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
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addReader(reader: (RelationExtractionModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. val defaultLang: String
    Definition Classes
    HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    ReadablePretrainedGenericClassifier → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. def load(path: String): RelationExtractionModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. def pretrained(name: String, lang: String, remoteLoc: String): RelationExtractionModel
    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained
  21. def pretrained(name: String, lang: String): RelationExtractionModel
    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained
  22. def pretrained(name: String): RelationExtractionModel
    Definition Classes
    RelationExtractionModel → ReadablePretrainedGenericClassifier → HasPretrained
  23. def pretrained(): RelationExtractionModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedGenericClassifier → HasPretrained
  24. def read: MLReader[RelationExtractionModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  25. def readGenericClassifierGraph(instance: RelationExtractionModel, path: String, spark: SparkSession): Unit
    Definition Classes
    RelationExtractionModel → ReadsGenericClassifierGraph
  26. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  27. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  28. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, savedSignatures: Option[Map[String, String]]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  29. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. val tfFile: String
    Definition Classes
    ReadsGenericClassifierGraph → ReadTensorflowModel
  32. def toString(): String
    Definition Classes
    AnyRef → Any
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

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