class MedicalNerDatasetEncoder extends NerDatasetEncoder
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Instance Constructors
- new MedicalNerDatasetEncoder(params: DatasetEncoderParams)
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final
def
!=(arg0: Any): Boolean
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final
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val
char2Id: Map[Char, Int]
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- NerDatasetEncoder
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val
chars: Array[Char]
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- NerDatasetEncoder
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def
clone(): AnyRef
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def
convertBatchTags(predictedTags: Array[String], allTags: Array[String], sentenceLength: Array[Int], prob: Option[Seq[Array[Float]]], includeAllConfidenceScores: Boolean): Array[Array[(String, Option[Array[Map[String, String]]])]]
- Definition Classes
- MedicalNerDatasetEncoder → NerDatasetEncoder
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def
decodeOutputData(tagIds: Array[Int]): Array[String]
- Definition Classes
- NerDatasetEncoder
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def
encodeInputData(sentences: Array[WordpieceEmbeddingsSentence]): NerBatch
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- NerDatasetEncoder
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def
encodeTags(tags: Array[Array[String]]): Array[Array[Int]]
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- NerDatasetEncoder
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final
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eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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def
getOrElse[T](source: Array[T], i: Int, value: ⇒ T): T
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- NerDatasetEncoder
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def
hashCode(): Int
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final
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isInstanceOf[T0]: Boolean
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notify(): Unit
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final
def
notifyAll(): Unit
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val
params: DatasetEncoderParams
- Definition Classes
- MedicalNerDatasetEncoder → NerDatasetEncoder
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
tag2Id: Map[String, Int]
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- NerDatasetEncoder
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val
tags: Array[String]
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- NerDatasetEncoder
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def
toString(): String
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final
def
wait(): Unit
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wait(arg0: Long): Unit
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