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com.johnsnowlabs.nlp.util.io

ResourceHelper

Related Doc: package io

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object ResourceHelper

Helper one-place for IO management. Streams, source and external input should be handled from here

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Type Members

  1. case class SourceStream(resource: String) extends Product with Serializable

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    Structure for a SourceStream coming from compiled content

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. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  9. def flattenRevertValuesAsKeys(er: ExternalResource): Map[String, String]

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    For multiple values per keys, this optimizer flattens all values for keys to have constant access

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

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  11. def getResourceFile(path: String): URL

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  12. def getResourceStream(path: String): InputStream

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. def listResourceDirectory(path: String): Seq[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. def parseKeyValueText(er: ExternalResource): Map[String, String]

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    General purpose key value parser from source Currently read only text files

  20. def parseLines(er: ExternalResource): Array[String]

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    General purpose line parser from source Currently read only text files

  21. def parseTupleSentences(er: ExternalResource): Array[TaggedSentence]

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    General purpose tuple parser from source Currently read only text files

  22. def parseTupleSentencesDS(er: ExternalResource): Dataset[TaggedSentence]

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  23. def parseTupleText(er: ExternalResource): Array[(String, String)]

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    General purpose tuple parser from source Currently read only text files

  24. val spark: SparkSession

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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  30. def wordCount(er: ExternalResource, m: Map[String, Long] = ..., p: Option[PipelineModel] = None): Map[String, Long]

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