Packages

object AlbertEmbeddings extends ReadablePretrainedAlbertModel with ReadAlbertDLModel with Serializable

This is the companion object of AlbertEmbeddings. Please refer to that class for the documentation.

Linear Supertypes
Serializable, Serializable, ReadAlbertDLModel, ReadOpenvinoModel, ReadOnnxModel, ReadSentencePieceModel, ReadTensorflowModel, ReadablePretrainedAlbertModel, HasPretrained[AlbertEmbeddings], ParamsAndFeaturesReadable[AlbertEmbeddings], DefaultParamsReadable[AlbertEmbeddings], MLReadable[AlbertEmbeddings], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. AlbertEmbeddings
  2. Serializable
  3. Serializable
  4. ReadAlbertDLModel
  5. ReadOpenvinoModel
  6. ReadOnnxModel
  7. ReadSentencePieceModel
  8. ReadTensorflowModel
  9. ReadablePretrainedAlbertModel
  10. HasPretrained
  11. ParamsAndFeaturesReadable
  12. DefaultParamsReadable
  13. MLReadable
  14. AnyRef
  15. 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: (AlbertEmbeddings, 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
    HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedAlbertModel → 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): AlbertEmbeddings
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadSavedModel(modelPath: String, spark: SparkSession): AlbertEmbeddings
    Definition Classes
    ReadAlbertDLModel
  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: AlbertEmbeddings, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  23. val onnxFile: String
    Definition Classes
    ReadAlbertDLModel → ReadOnnxModel
  24. val openvinoFile: String
    Definition Classes
    ReadAlbertDLModel → ReadOpenvinoModel
  25. def pretrained(name: String, lang: String, remoteLoc: String): AlbertEmbeddings
    Definition Classes
    ReadablePretrainedAlbertModel → HasPretrained
  26. def pretrained(name: String, lang: String): AlbertEmbeddings
    Definition Classes
    ReadablePretrainedAlbertModel → HasPretrained
  27. def pretrained(name: String): AlbertEmbeddings
    Definition Classes
    ReadablePretrainedAlbertModel → HasPretrained
  28. def pretrained(): AlbertEmbeddings

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedAlbertModel → HasPretrained
  29. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): AlbertEmbeddings

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    HasPretrained
  30. def pretrainedEngine(name: String, lang: String, preferredEngine: String): AlbertEmbeddings
    Definition Classes
    HasPretrained
  31. def pretrainedEngine(name: String, preferredEngine: String): AlbertEmbeddings
    Definition Classes
    HasPretrained
  32. def read: MLReader[AlbertEmbeddings]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  33. def readModel(instance: AlbertEmbeddings, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadAlbertDLModel
  34. 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
  35. 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
  36. def readOpenvinoModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true): OpenvinoWrapper
    Definition Classes
    ReadOpenvinoModel
  37. def readOpenvinoModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true): Map[String, OpenvinoWrapper]
    Definition Classes
    ReadOpenvinoModel
  38. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
    Definition Classes
    ReadSentencePieceModel
  39. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  40. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  41. 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
  42. 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
  43. val readers: ArrayBuffer[(AlbertEmbeddings, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  44. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  45. val sppFile: String
    Definition Classes
    ReadAlbertDLModel → ReadSentencePieceModel
  46. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  47. val tfFile: String
    Definition Classes
    ReadAlbertDLModel → ReadTensorflowModel
  48. def toString(): String
    Definition Classes
    AnyRef → Any
  49. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  50. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  51. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadAlbertDLModel

Inherited from ReadOpenvinoModel

Inherited from ReadOnnxModel

Inherited from ReadSentencePieceModel

Inherited from ReadTensorflowModel

Inherited from ReadablePretrainedAlbertModel

Inherited from HasPretrained[AlbertEmbeddings]

Inherited from ParamsAndFeaturesReadable[AlbertEmbeddings]

Inherited from DefaultParamsReadable[AlbertEmbeddings]

Inherited from MLReadable[AlbertEmbeddings]

Inherited from AnyRef

Inherited from Any

Ungrouped