object WordEmbeddingsModel extends ReadablePretrainedWordEmbeddings with EmbeddingsCoverage with Serializable

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

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Inherited
  1. WordEmbeddingsModel
  2. Serializable
  3. Serializable
  4. EmbeddingsCoverage
  5. ReadablePretrainedWordEmbeddings
  6. HasPretrained
  7. StorageReadable
  8. ParamsAndFeaturesReadable
  9. DefaultParamsReadable
  10. MLReadable
  11. AnyRef
  12. Any
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Visibility
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Type Members

  1. case class CoverageResult(covered: Long, total: Long, percentage: Float) extends Product with Serializable
    Definition Classes
    EmbeddingsCoverage

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: (WordEmbeddingsModel, 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 databases: Array[Name]
  8. val defaultLang: String
    Definition Classes
    HasPretrained
  9. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  10. val defaultModelName: Option[String]
  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): WordEmbeddingsModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadStorage(path: String, spark: SparkSession, storageRef: String): Unit
    Definition Classes
    StorageReadable
  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 overallCoverage(dataset: DataFrame, embeddingsCol: String): CoverageResult
    Definition Classes
    EmbeddingsCoverage
  23. def pretrained(name: String, lang: String, remoteLoc: String): WordEmbeddingsModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedWordEmbeddingsHasPretrained
  24. def pretrained(name: String, lang: String): WordEmbeddingsModel
  25. def pretrained(name: String): WordEmbeddingsModel
  26. def pretrained(): WordEmbeddingsModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedWordEmbeddingsHasPretrained
  27. def read: MLReader[WordEmbeddingsModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  28. def readStorage(instance: WordEmbeddingsModel, path: String, spark: SparkSession): Unit
    Definition Classes
    StorageReadable
  29. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  30. def toString(): String
    Definition Classes
    AnyRef → Any
  31. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  34. def withCoverageColumn(dataset: DataFrame, embeddingsCol: String, outputCol: String = "coverage"): DataFrame
    Definition Classes
    EmbeddingsCoverage

Inherited from Serializable

Inherited from Serializable

Inherited from EmbeddingsCoverage

Inherited from DefaultParamsReadable[WordEmbeddingsModel]

Inherited from MLReadable[WordEmbeddingsModel]

Inherited from AnyRef

Inherited from Any

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