Object

net.sansa_stack.rdf.spark.qualityassessment.metrics.syntacticvalidity

LiteralNumericRangeChecker

Related Doc: package syntacticvalidity

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object LiteralNumericRangeChecker

Check if the incorrect numeric range for the given predicate and given class of subjects. A user should specify the RDF class, the RDF property for which he would like to verify if the values are in the specified range determined by the user. The range is specified by the user by indicating the lower and the upper bound of the value.

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  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. def apply(dataset: RDD[Triple]): Long

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. val lowerBound: Double

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val property: String

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  18. var spark: SparkSession

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  19. val subject: String

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

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  21. def toString(): String

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  22. val upperBound: Double

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  23. final def wait(): Unit

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

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

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