Packages

object AlbertForZeroShotClassification extends ReadablePretrainedAlbertForZeroShotModel with ReadAlbertForZeroShotDLModel with Serializable

Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. AlbertForZeroShotClassification
  2. Serializable
  3. Serializable
  4. ReadAlbertForZeroShotDLModel
  5. ReadSentencePieceModel
  6. ReadOnnxModel
  7. ReadTensorflowModel
  8. ReadablePretrainedAlbertForZeroShotModel
  9. HasPretrained
  10. ParamsAndFeaturesReadable
  11. DefaultParamsReadable
  12. MLReadable
  13. AnyRef
  14. Any
  1. Hide All
  2. Show All
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: (AlbertForZeroShotClassification, 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
    ReadablePretrainedAlbertForZeroShotModel → HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedAlbertForZeroShotModel → HasPretrained
  10. val defaultPreferredEngine: String
    Definition Classes
    HasPretrained
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. def load(path: String): AlbertForZeroShotClassification
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadSavedModel(modelPath: String, spark: SparkSession): AlbertForZeroShotClassification
    Definition Classes
    ReadAlbertForZeroShotDLModel
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. def onRead(instance: AlbertForZeroShotClassification, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  23. val onnxFile: String
    Definition Classes
    ReadAlbertForZeroShotDLModel → ReadOnnxModel
  24. def pretrained(name: String, lang: String, remoteLoc: String): AlbertForZeroShotClassification
    Definition Classes
    ReadablePretrainedAlbertForZeroShotModel → HasPretrained
  25. def pretrained(name: String, lang: String): AlbertForZeroShotClassification
    Definition Classes
    ReadablePretrainedAlbertForZeroShotModel → HasPretrained
  26. def pretrained(name: String): AlbertForZeroShotClassification
    Definition Classes
    ReadablePretrainedAlbertForZeroShotModel → HasPretrained
  27. def pretrained(): AlbertForZeroShotClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedAlbertForZeroShotModel → HasPretrained
  28. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): AlbertForZeroShotClassification

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    HasPretrained
  29. def pretrainedEngine(name: String, lang: String, preferredEngine: String): AlbertForZeroShotClassification
    Definition Classes
    HasPretrained
  30. def pretrainedEngine(name: String, preferredEngine: String): AlbertForZeroShotClassification
    Definition Classes
    HasPretrained
  31. def read: MLReader[AlbertForZeroShotClassification]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  32. def readModel(instance: AlbertForZeroShotClassification, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadAlbertForZeroShotDLModel
  33. def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): OnnxWrapper
    Definition Classes
    ReadOnnxModel
  34. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]
    Definition Classes
    ReadOnnxModel
  35. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
    Definition Classes
    ReadSentencePieceModel
  36. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  37. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  38. 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
  39. 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
  40. val readers: ArrayBuffer[(AlbertForZeroShotClassification, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  41. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  42. val sppFile: String
    Definition Classes
    ReadAlbertForZeroShotDLModel → ReadSentencePieceModel
  43. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  44. val tfFile: String
    Definition Classes
    ReadAlbertForZeroShotDLModel → ReadTensorflowModel
  45. def toString(): String
    Definition Classes
    AnyRef → Any
  46. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  47. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  48. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadAlbertForZeroShotDLModel

Inherited from ReadSentencePieceModel

Inherited from ReadOnnxModel

Inherited from ReadTensorflowModel

Inherited from ReadablePretrainedAlbertForZeroShotModel

Inherited from HasPretrained[AlbertForZeroShotClassification]

Inherited from ParamsAndFeaturesReadable[AlbertForZeroShotClassification]

Inherited from DefaultParamsReadable[AlbertForZeroShotClassification]

Inherited from MLReadable[AlbertForZeroShotClassification]

Inherited from AnyRef

Inherited from Any

Ungrouped