Class

com.johnsnowlabs.nlp.eval.ner

NerDLMetrics

Related Doc: package ner

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class NerDLMetrics extends Licensed

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Instance Constructors

  1. new NerDLMetrics(mode: String = "full_chunk", dropO: Boolean = true)

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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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  6. def computeMetricsFromDF(dataset: DataFrame, predictionCol: String = "ner", labelCol: String = "label"): Dataset[Row]

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  7. def documentMetricsUdf(functionMode: String = EvaluationModes.FULL_CHUNK): UserDefinedFunction

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  8. val dropO: Boolean

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. val mode: String

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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