Trait

com.johnsnowlabs.nlp.annotators.resolution

ReadablePretrainedBigChunkEntityResolver

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trait ReadablePretrainedBigChunkEntityResolver extends StorageReadable[BigChunkEntityResolverModel] with HasPretrained[BigChunkEntityResolverModel] with EvalEntityResolver

Linear Supertypes
EvalEntityResolver, HasPretrained[BigChunkEntityResolverModel], StorageReadable[BigChunkEntityResolverModel], ParamsAndFeaturesReadable[BigChunkEntityResolverModel], DefaultParamsReadable[BigChunkEntityResolverModel], MLReadable[BigChunkEntityResolverModel], AnyRef, Any
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Inherited
  1. ReadablePretrainedBigChunkEntityResolver
  2. EvalEntityResolver
  3. HasPretrained
  4. StorageReadable
  5. ParamsAndFeaturesReadable
  6. DefaultParamsReadable
  7. MLReadable
  8. AnyRef
  9. Any
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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 accuracy(dataset: DataFrame, trueCol: String, resolverCol: String, numOfChars: Int = 0): Double

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    calculates the accuracy metric for the EntityResolverModel in the provided dataset; the dataset should contain a column with the true code and a column from the EntityResolverModel annotator

    calculates the accuracy metric for the EntityResolverModel in the provided dataset; the dataset should contain a column with the true code and a column from the EntityResolverModel annotator

    dataset

    Transformed DataFrame

    trueCol

    Column with the ground truth code

    resolverCol

    Column with the EntityResolverModel annotation

    returns

    The rate of correct entities

    Definition Classes
    EvalEntityResolver
  5. def addReader(reader: (BigChunkEntityResolverModel, String, SparkSession) ⇒ Unit): Unit

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    Definition Classes
    ParamsAndFeaturesReadable
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val databases: Array[Name]

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    Definition Classes
    ReadablePretrainedBigChunkEntityResolver → StorageReadable
  9. val defaultLang: String

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    Definition Classes
    HasPretrained
  10. lazy val defaultLoc: String

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    Definition Classes
    HasPretrained
  11. val defaultModelName: None.type

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    Definition Classes
    ReadablePretrainedBigChunkEntityResolver → HasPretrained
  12. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  17. def hitsAtK(dataset: DataFrame, trueCol: String, resolverCol: String, k: Int, numOfChars: Int = 0): Double

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    dataset

    Transformed DataFrame

    trueCol

    Column with the ground truth code

    resolverCol

    Column with the EntityResolverModel annotation

    k

    Number of results to include in the set (k parameter for Hits@K)

    numOfChars

    Number of characters to compare from the codes starting from left; defaults to 0 which compares the full code

    returns

    The rate of correct entities appearing in the top k entries for each instance list

    Definition Classes
    EvalEntityResolver
  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  19. def load(path: String): BigChunkEntityResolverModel

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    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  20. def loadStorage(path: String, spark: SparkSession, storageRef: String): Unit

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    Definition Classes
    StorageReadable
  21. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  22. final def notify(): Unit

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    Definition Classes
    AnyRef
  23. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  24. def pretrained(name: String, lang: String, remoteLoc: String): BigChunkEntityResolverModel

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    Definition Classes
    ReadablePretrainedBigChunkEntityResolver → HasPretrained
  25. def pretrained(name: String, lang: String): BigChunkEntityResolverModel

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    Definition Classes
    ReadablePretrainedBigChunkEntityResolver → HasPretrained
  26. def pretrained(name: String): BigChunkEntityResolverModel

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    Definition Classes
    ReadablePretrainedBigChunkEntityResolver → HasPretrained
  27. def pretrained(): BigChunkEntityResolverModel

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    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedBigChunkEntityResolver → HasPretrained
  28. def read: MLReader[BigChunkEntityResolverModel]

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    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  29. def readStorage(instance: BigChunkEntityResolverModel, path: String, spark: SparkSession): Unit

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    Definition Classes
    StorageReadable
  30. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  31. def toString(): String

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    Definition Classes
    AnyRef → Any
  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from EvalEntityResolver

Inherited from HasPretrained[BigChunkEntityResolverModel]

Inherited from StorageReadable[BigChunkEntityResolverModel]

Inherited from ParamsAndFeaturesReadable[BigChunkEntityResolverModel]

Inherited from DefaultParamsReadable[BigChunkEntityResolverModel]

Inherited from MLReadable[BigChunkEntityResolverModel]

Inherited from AnyRef

Inherited from Any

Ungrouped