Packages

object MiniLMEmbeddings extends ReadablePretrainedMiniLMModel with ReadMiniLMDLModel with Serializable

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

Linear Supertypes
Serializable, Serializable, ReadMiniLMDLModel, ReadOpenvinoModel, ReadOnnxModel, ReadablePretrainedMiniLMModel, HasPretrained[MiniLMEmbeddings], ParamsAndFeaturesReadable[MiniLMEmbeddings], DefaultParamsReadable[MiniLMEmbeddings], MLReadable[MiniLMEmbeddings], AnyRef, Any
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Inherited
  1. MiniLMEmbeddings
  2. Serializable
  3. Serializable
  4. ReadMiniLMDLModel
  5. ReadOpenvinoModel
  6. ReadOnnxModel
  7. ReadablePretrainedMiniLMModel
  8. HasPretrained
  9. ParamsAndFeaturesReadable
  10. DefaultParamsReadable
  11. MLReadable
  12. AnyRef
  13. 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: (MiniLMEmbeddings, 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
    ReadablePretrainedMiniLMModel → 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): MiniLMEmbeddings
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  17. def loadSavedModel(modelPath: String, spark: SparkSession, useOpenvino: Boolean = false): MiniLMEmbeddings
    Definition Classes
    ReadMiniLMDLModel
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def onRead(instance: MiniLMEmbeddings, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  22. val onnxFile: String
    Definition Classes
    ReadMiniLMDLModel → ReadOnnxModel
  23. val openvinoFile: String
    Definition Classes
    ReadMiniLMDLModel → ReadOpenvinoModel
  24. def pretrained(name: String, lang: String, remoteLoc: String): MiniLMEmbeddings

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedMiniLMModel → HasPretrained
  25. def pretrained(name: String, lang: String): MiniLMEmbeddings
    Definition Classes
    ReadablePretrainedMiniLMModel → HasPretrained
  26. def pretrained(name: String): MiniLMEmbeddings
    Definition Classes
    ReadablePretrainedMiniLMModel → HasPretrained
  27. def pretrained(): MiniLMEmbeddings

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMiniLMModel → HasPretrained
  28. def read: MLReader[MiniLMEmbeddings]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  29. def readModel(instance: MiniLMEmbeddings, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadMiniLMDLModel
  30. 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
  31. 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
  32. def readOpenvinoModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true): OpenvinoWrapper
    Definition Classes
    ReadOpenvinoModel
  33. def readOpenvinoModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true): Map[String, OpenvinoWrapper]
    Definition Classes
    ReadOpenvinoModel
  34. val readers: ArrayBuffer[(MiniLMEmbeddings, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  35. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  36. def toString(): String
    Definition Classes
    AnyRef → Any
  37. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadMiniLMDLModel

Inherited from ReadOpenvinoModel

Inherited from ReadOnnxModel

Inherited from ReadablePretrainedMiniLMModel

Inherited from HasPretrained[MiniLMEmbeddings]

Inherited from ParamsAndFeaturesReadable[MiniLMEmbeddings]

Inherited from DefaultParamsReadable[MiniLMEmbeddings]

Inherited from MLReadable[MiniLMEmbeddings]

Inherited from AnyRef

Inherited from Any

Ungrouped