case class CoNLL(documentCol: String = "document", sentenceCol: String = "sentence", tokenCol: String = "token", posCol: String = "pos", conllLabelIndex: Int = 3, conllPosIndex: Int = 1, conllTextCol: String = "text", labelCol: String = "label", explodeSentences: Boolean = true) extends Product with Serializable
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Instance Constructors
- new CoNLL(documentCol: String = "document", sentenceCol: String = "sentence", tokenCol: String = "token", posCol: String = "pos", conllLabelIndex: Int = 3, conllPosIndex: Int = 1, conllTextCol: String = "text", labelCol: String = "label", explodeSentences: Boolean = true)
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- def clearTokens(tokens: Array[IndexedTaggedWord]): Array[IndexedTaggedWord]
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- val conllLabelIndex: Int
- val conllPosIndex: Int
- val conllTextCol: String
- val documentCol: String
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def
eq(arg0: AnyRef): Boolean
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- val explodeSentences: Boolean
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- def getAnnotationType(column: String, annotatorType: String, addMetadata: Boolean = true): StructField
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- val labelCol: String
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- def packAssembly(text: String, isTraining: Boolean = true): Seq[Annotation]
- def packDocs(docs: Seq[CoNLLDocument], spark: SparkSession): Dataset[_]
- def packNerTagged(sentences: Seq[NerTaggedSentence]): Seq[Annotation]
- def packPosTagged(sentences: Seq[TaggedSentence]): Seq[Annotation]
- def packSentence(text: String, sentences: Seq[TaggedSentence]): Seq[Annotation]
- def packTokenized(text: String, sentences: Seq[TaggedSentence]): Seq[Annotation]
- val posCol: String
- def readDataset(spark: SparkSession, path: String, readAs: String = ReadAs.TEXT.toString): Dataset[_]
- def readDatasetFromLines(lines: Array[String], spark: SparkSession): Dataset[_]
- def readDocs(er: ExternalResource): Seq[CoNLLDocument]
- def readLines(lines: Array[String]): Seq[CoNLLDocument]
- def schema: StructType
- val sentenceCol: String
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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- val tokenCol: String
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