TrainingInstances

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. def apply(i: Int, columns: Array[String]): Array[Any]

7. final def asInstanceOf[T0]: T0

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8. def clone(): AnyRef

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9. def column(name: String): String

10. def columns(names: Array[String]): Array[String]

11. val columns: Array[String]

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

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13. def equals(arg0: Any): Boolean

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14. def extensions: Seq[Extension]

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15. val fieldCount: Option[Int]

    Defines the number of fields (features + targets).

    Defines the number of fields (features + targets). This number needs to match the number of InstanceField elements defined under InstanceFields.

16. def finalize(): Unit

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

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18. def hasExtensions: Boolean

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19. def hashCode(): Int

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20. def init(scope: FieldScope): Unit

21. val instanceFields: InstanceFields

    Defines all the fields included in the training instances.

22. final def isInstanceOf[T0]: Boolean

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23. val isTransformed: Boolean

    Used as a flag to determine whether or not the training instances have already been transformed.

    Used as a flag to determine whether or not the training instances have already been transformed. If isTransformed is "false", it indicates that the training data has not been transformed yet. If "true", it indicates that it has already been transformed.

24. val names: Array[String]

25. def nbCols: Int

26. def nbRows: Int

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

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28. final def notify(): Unit

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29. final def notifyAll(): Unit

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30. val recordCount: Option[Int]

    Defines the number of training instances or records.

    Defines the number of training instances or records. This number needs to match the number of instances defined in the element InlineTable or in the external data if TableLocator is used.

31. def row(i: Int): Row

32. def series(i: Int): Series

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

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34. val table: Table

    Representing the training data (feature vectors and class labels)

35. def toString(): String

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36. final def wait(): Unit

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

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

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