Packages

object E5Embeddings extends ReadablePretrainedE5Model with ReadE5DLModel with Serializable

This is the companion object of E5Embeddings. Please refer to that class for the documentation.

Linear Supertypes
Serializable, Serializable, ReadE5DLModel, ReadOpenvinoModel, ReadOnnxModel, ReadTensorflowModel, ReadablePretrainedE5Model, HasPretrained[E5Embeddings], ParamsAndFeaturesReadable[E5Embeddings], DefaultParamsReadable[E5Embeddings], MLReadable[E5Embeddings], AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. E5Embeddings
  2. Serializable
  3. Serializable
  4. ReadE5DLModel
  5. ReadOpenvinoModel
  6. ReadOnnxModel
  7. ReadTensorflowModel
  8. ReadablePretrainedE5Model
  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: (E5Embeddings, 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
    ReadablePretrainedE5Model → 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): E5Embeddings
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadSavedModel(modelPath: String, spark: SparkSession, useOpenvino: Boolean = false): E5Embeddings
    Definition Classes
    ReadE5DLModel
  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: E5Embeddings, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  23. val onnxFile: String
    Definition Classes
    ReadE5DLModel → ReadOnnxModel
  24. val openvinoFile: String
    Definition Classes
    ReadE5DLModel → ReadOpenvinoModel
  25. def pretrained(name: String, lang: String, remoteLoc: String): E5Embeddings
    Definition Classes
    ReadablePretrainedE5Model → HasPretrained
  26. def pretrained(name: String, lang: String): E5Embeddings
    Definition Classes
    ReadablePretrainedE5Model → HasPretrained
  27. def pretrained(name: String): E5Embeddings
    Definition Classes
    ReadablePretrainedE5Model → HasPretrained
  28. def pretrained(): E5Embeddings

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedE5Model → HasPretrained
  29. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): E5Embeddings

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    HasPretrained
  30. def pretrainedEngine(name: String, lang: String, preferredEngine: String): E5Embeddings
    Definition Classes
    HasPretrained
  31. def pretrainedEngine(name: String, preferredEngine: String): E5Embeddings
    Definition Classes
    HasPretrained
  32. def read: MLReader[E5Embeddings]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  33. def readModel(instance: E5Embeddings, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadE5DLModel
  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 readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  39. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  40. 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
  41. 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
  42. val readers: ArrayBuffer[(E5Embeddings, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  43. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  44. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  45. val tfFile: String
    Definition Classes
    ReadE5DLModel → ReadTensorflowModel
  46. def toString(): String
    Definition Classes
    AnyRef → Any
  47. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  48. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  49. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadE5DLModel

Inherited from ReadOpenvinoModel

Inherited from ReadOnnxModel

Inherited from ReadTensorflowModel

Inherited from ReadablePretrainedE5Model

Inherited from HasPretrained[E5Embeddings]

Inherited from ParamsAndFeaturesReadable[E5Embeddings]

Inherited from DefaultParamsReadable[E5Embeddings]

Inherited from MLReadable[E5Embeddings]

Inherited from AnyRef

Inherited from Any

Ungrouped