Packages

object BLIPForQuestionAnswering extends ReadablePretrainedBLIPForQuestionAnswering with ReadBLIPForQuestionAnsweringDLModel with Serializable

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Inherited
  1. BLIPForQuestionAnswering
  2. Serializable
  3. ReadBLIPForQuestionAnsweringDLModel
  4. ReadTensorflowModel
  5. ReadablePretrainedBLIPForQuestionAnswering
  6. HasPretrained
  7. ParamsAndFeaturesReadable
  8. DefaultParamsReadable
  9. MLReadable
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. Protected

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: (BLIPForQuestionAnswering, 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(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
  7. val defaultLang: String
    Definition Classes
    HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  9. val defaultModelName: Some[String]
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  12. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def load(path: String): BLIPForQuestionAnswering
    Definition Classes
    MLReadable
    Annotations
    @Since("1.6.0")
  16. def loadSavedModel(modelPath: String, spark: SparkSession): BLIPForQuestionAnswering
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  20. def onRead(instance: BLIPForQuestionAnswering, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  21. def pretrained(name: String, lang: String, remoteLoc: String): BLIPForQuestionAnswering

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedBLIPForQuestionAnsweringHasPretrained
  22. def pretrained(name: String, lang: String): BLIPForQuestionAnswering
  23. def pretrained(name: String): BLIPForQuestionAnswering
  24. def pretrained(): BLIPForQuestionAnswering

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedBLIPForQuestionAnsweringHasPretrained
  25. def read: MLReader[BLIPForQuestionAnswering]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  26. def readModel(instance: BLIPForQuestionAnswering, path: String, spark: SparkSession): Unit
  27. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  28. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  29. def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, savedSignatures: Option[Map[String, String]] = None): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  30. 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
  31. val readers: ArrayBuffer[(BLIPForQuestionAnswering, String, SparkSession) => Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  32. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  33. val tfFile: String
  34. def toString(): String
    Definition Classes
    AnyRef → Any
  35. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  36. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  37. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from Serializable

Inherited from ReadTensorflowModel

Inherited from DefaultParamsReadable[BLIPForQuestionAnswering]

Inherited from MLReadable[BLIPForQuestionAnswering]

Inherited from AnyRef

Inherited from Any

Ungrouped