Class

com.johnsnowlabs.nlp.eval

NerCrfEvaluation

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class NerCrfEvaluation extends AnyRef

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Instance Constructors

  1. new NerCrfEvaluation(testFile: String, format: String)

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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  6. def computeAccuracyAnnotator(modelPath: String, trainFile: String, NerCrfApproach: NerCrfApproach, wordEmbeddings: WordEmbeddings): Unit

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  7. def computeMicroAverage(metrics: MulticlassMetrics): Unit

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def getEntitiesLabels(dataSet: Dataset[_], column: String, format: String): List[String]

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  13. def getEvaluationDataSet(dataSet: Dataset[_], labels: List[String], format: String, sparkSession: SparkSession): Dataset[_]

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  14. def getNerModel(nerEvalCrfConfiguration: NerEvalCrfConfiguration): PipelineModel

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  15. def getNerPipeline(nerEvalCrfConfiguration: NerEvalCrfConfiguration): Pipeline

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  16. def getPredictionDataSet(nerDataSet: Dataset[_], nerEvalCrfConfiguration: NerEvalCrfConfiguration): Dataset[_]

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  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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  19. var loggingData: LoggingData

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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