Packages

trait DecisionTree extends AnyRef

The DecisionTree trait provides common capabilities for all types of decision trees.

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AnyRef, Any
Known Subclasses
DecisionTreeC45, DecisionTreeID3, DecisionTreeID3wp
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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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  5. def clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_]
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  10. def hashCode(): Int
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  11. final def isInstanceOf[T0]: Boolean
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  12. def mode(y: Array[Int]): Int

    Find the most frequent classification.

    Find the most frequent classification.

    y

    the array of discrete classifications

  13. def multivalued(x: MatriD): Boolean

    Determine whether the matrix 'x' is multivalued (>= 2 distinct rows).

    Determine whether the matrix 'x' is multivalued (>= 2 distinct rows).

    x

    the given vector

  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. def printTree(vc: Array[Int]): Unit

    Print the decision tree using 'prinT' method from Node class.

    Print the decision tree using 'prinT' method from Node class.

    vc

    the value count array (number of values for each feature)

  18. def reset(): Unit

    Reset or re-initialize counters, if needed.

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