Packages

object MxbaiEmbeddings extends ReadablePretrainedMxbaiModel with ReadMxbaiDLModel with Serializable

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

Linear Supertypes
Serializable, Serializable, ReadMxbaiDLModel, ReadOnnxModel, ReadTensorflowModel, ReadablePretrainedMxbaiModel, HasPretrained[MxbaiEmbeddings], ParamsAndFeaturesReadable[MxbaiEmbeddings], DefaultParamsReadable[MxbaiEmbeddings], MLReadable[MxbaiEmbeddings], AnyRef, Any
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Inherited
  1. MxbaiEmbeddings
  2. Serializable
  3. Serializable
  4. ReadMxbaiDLModel
  5. ReadOnnxModel
  6. ReadTensorflowModel
  7. ReadablePretrainedMxbaiModel
  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: (MxbaiEmbeddings, 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
    ReadablePretrainedMxbaiModel → 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): MxbaiEmbeddings
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadSavedModel(modelPath: String, spark: SparkSession): MxbaiEmbeddings
    Definition Classes
    ReadMxbaiDLModel
  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: MxbaiEmbeddings, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  23. val onnxFile: String
    Definition Classes
    ReadMxbaiDLModel → ReadOnnxModel
  24. def pretrained(name: String, lang: String, remoteLoc: String): MxbaiEmbeddings
    Definition Classes
    ReadablePretrainedMxbaiModel → HasPretrained
  25. def pretrained(name: String, lang: String): MxbaiEmbeddings
    Definition Classes
    ReadablePretrainedMxbaiModel → HasPretrained
  26. def pretrained(name: String): MxbaiEmbeddings
    Definition Classes
    ReadablePretrainedMxbaiModel → HasPretrained
  27. def pretrained(): MxbaiEmbeddings

    Java compliant-overrides

    Java compliant-overrides

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

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    HasPretrained
  29. def pretrainedEngine(name: String, lang: String, preferredEngine: String): MxbaiEmbeddings
    Definition Classes
    HasPretrained
  30. def pretrainedEngine(name: String, preferredEngine: String): MxbaiEmbeddings
    Definition Classes
    HasPretrained
  31. def read: MLReader[MxbaiEmbeddings]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  32. def readModel(instance: MxbaiEmbeddings, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadMxbaiDLModel
  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 readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  36. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  37. 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
  38. 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
  39. val readers: ArrayBuffer[(MxbaiEmbeddings, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  40. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  41. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  42. val tfFile: String
    Definition Classes
    ReadMxbaiDLModel → ReadTensorflowModel
  43. def toString(): String
    Definition Classes
    AnyRef → Any
  44. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  46. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadMxbaiDLModel

Inherited from ReadOnnxModel

Inherited from ReadTensorflowModel

Inherited from ReadablePretrainedMxbaiModel

Inherited from HasPretrained[MxbaiEmbeddings]

Inherited from ParamsAndFeaturesReadable[MxbaiEmbeddings]

Inherited from DefaultParamsReadable[MxbaiEmbeddings]

Inherited from MLReadable[MxbaiEmbeddings]

Inherited from AnyRef

Inherited from Any

Ungrouped