MultiClassifierDLModel

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: (annotators.classifier.dl.MultiClassifierDLModel, String, SparkSession) ⇒ Unit): Unit

   

   Definition Classes

   ParamsAndFeaturesReadable

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

7. val defaultLang: String

   

   Definition Classes

   HasPretrained

8. lazy val defaultLoc: String

   

   Definition Classes

   HasPretrained

9. val defaultModelName: Some[String]

   

   Definition Classes

   ReadablePretrainedMultiClassifierDL → 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[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

    AnyRef → Any

14. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

15. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

16. def load(path: String): annotators.classifier.dl.MultiClassifierDLModel

    

    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

19. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

20. def pretrained(name: String, lang: String): annotators.classifier.dl.MultiClassifierDLModel

    

    Definition Classes

    ReadablePretrainedMultiClassifierDL → HasPretrained

21. def pretrained(name: String): annotators.classifier.dl.MultiClassifierDLModel

    

    Definition Classes

    ReadablePretrainedMultiClassifierDL → HasPretrained

22. def pretrained(): annotators.classifier.dl.MultiClassifierDLModel

    

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes

    ReadablePretrainedMultiClassifierDL → HasPretrained

23. def pretrained(name: String, lang: String, remoteLoc: String): annotators.classifier.dl.MultiClassifierDLModel

    

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes

    ReadablePretrainedMultiClassifierDL → HasPretrained

24. def read: MLReader[annotators.classifier.dl.MultiClassifierDLModel]

    

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

25. def readTensorflow(instance: annotators.classifier.dl.MultiClassifierDLModel, path: String, spark: SparkSession): Unit

    

    Definition Classes

    ReadMultiClassifierDLTensorflowModel

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

    

    Definition Classes

    ReadTensorflowModel

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

    

    Definition Classes

    ReadTensorflowModel

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

    

    Definition Classes

    ReadTensorflowModel

29. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper

    

    Definition Classes

    ReadTensorflowModel

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

    

    Definition Classes

    AnyRef

31. val tfFile: String

    

    Definition Classes

    ReadMultiClassifierDLTensorflowModel → 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( ... )