Object

com.johnsnowlabs.nlp.annotator

WordEmbeddingsModel

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object WordEmbeddingsModel extends ReadablePretrainedWordEmbeddings with EmbeddingsCoverage with Serializable

Linear Supertypes
Serializable, Serializable, EmbeddingsCoverage, ReadablePretrainedWordEmbeddings, HasPretrained[embeddings.WordEmbeddingsModel], StorageReadable[embeddings.WordEmbeddingsModel], ParamsAndFeaturesReadable[embeddings.WordEmbeddingsModel], DefaultParamsReadable[embeddings.WordEmbeddingsModel], MLReadable[embeddings.WordEmbeddingsModel], AnyRef, Any
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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
  1. Public
  2. All

Type Members

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

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    Definition Classes
    EmbeddingsCoverage

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. def addReader(reader: (embeddings.WordEmbeddingsModel, String, SparkSession) ⇒ Unit): Unit

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    Definition Classes
    ParamsAndFeaturesReadable

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. val databases: Array[Name]

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    Definition Classes
    ReadablePretrainedWordEmbeddings → StorageReadable

  8. val defaultLang: String

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    Definition Classes
    HasPretrained

  9. lazy val defaultLoc: String

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    Definition Classes
    HasPretrained

  10. val defaultModelName: Option[String]

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    Definition Classes
    ReadablePretrainedWordEmbeddings → HasPretrained

  11. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  14. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  17. def load(path: String): embeddings.WordEmbeddingsModel

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    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )

  18. def loadStorage(path: String, spark: SparkSession, storageRef: String): Unit

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    Definition Classes
    StorageReadable

  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  22. def overallCoverage(dataset: DataFrame, embeddingsCol: String): CoverageResult

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    Definition Classes
    EmbeddingsCoverage

  23. def pretrained(name: String, lang: String, remoteLoc: String): embeddings.WordEmbeddingsModel

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    Java default argument interoperability

    Java default argument interoperability

    Definition Classes
    ReadablePretrainedWordEmbeddings → HasPretrained

  24. def pretrained(name: String, lang: String): embeddings.WordEmbeddingsModel

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    Definition Classes
    ReadablePretrainedWordEmbeddings → HasPretrained

  25. def pretrained(name: String): embeddings.WordEmbeddingsModel

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    Definition Classes
    ReadablePretrainedWordEmbeddings → HasPretrained

  26. def pretrained(): embeddings.WordEmbeddingsModel

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    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedWordEmbeddings → HasPretrained

  27. def read: MLReader[embeddings.WordEmbeddingsModel]

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    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

  28. def readStorage(instance: embeddings.WordEmbeddingsModel, path: String, spark: SparkSession): Unit

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    Definition Classes
    StorageReadable

  29. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  30. def toString(): String

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    Definition Classes
    AnyRef → Any

  31. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  32. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  34. def withCoverageColumn(dataset: DataFrame, embeddingsCol: String, outputCol: String = "coverage"): DataFrame

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    Definition Classes
    EmbeddingsCoverage

Inherited from Serializable

Inherited from Serializable

Inherited from EmbeddingsCoverage

Inherited from ReadablePretrainedWordEmbeddings

Inherited from HasPretrained[embeddings.WordEmbeddingsModel]

Inherited from StorageReadable[embeddings.WordEmbeddingsModel]

Inherited from ParamsAndFeaturesReadable[embeddings.WordEmbeddingsModel]

Inherited from DefaultParamsReadable[embeddings.WordEmbeddingsModel]

Inherited from MLReadable[embeddings.WordEmbeddingsModel]

Inherited from AnyRef

Inherited from Any

Ungrouped