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com.johnsnowlabs.nlp

HasBatchedAnnotateImage

trait HasBatchedAnnotateImage[M <: Model[M]] extends AnyRef

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Abstract Value Members

  1. abstract def batchAnnotate(batchedAnnotations: Seq[Array[AnnotationImage]]): Seq[Seq[Annotation]]

    takes a document and annotations and produces new annotations of this annotator's annotation type

    takes a document and annotations and produces new annotations of this annotator's annotation type

    batchedAnnotations

    Annotations in batches that correspond to inputAnnotationCols generated by previous annotators if any

    returns

    any number of annotations processed for every batch of input annotations. Not necessary one to one relationship

Concrete 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 batchProcess(rows: Iterator[_]): Iterator[Row]
  6. val batchSize: IntParam

    Size of every batch (Default depends on model).

  7. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native()
  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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    protected[lang]
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    @throws( classOf[java.lang.Throwable] )
  11. def getBatchSize: Int

    Size of every batch.

  12. final def getClass(): Class[_]
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    Annotations
    @native()
  13. def hashCode(): Int
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    @native()
  14. final def isInstanceOf[T0]: Boolean
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  15. final def ne(arg0: AnyRef): Boolean
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  16. final def notify(): Unit
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    @native()
  17. final def notifyAll(): Unit
    Definition Classes
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    @native()
  18. def setBatchSize(size: Int): HasBatchedAnnotateImage.this

    Size of every batch.

  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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    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  23. final def wait(arg0: Long): Unit
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getParam

param

setParam

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