c

undersampling.core

IterativeInstanceAdjustmentImbalancedDomains

class IterativeInstanceAdjustmentImbalancedDomains extends Algorithm

Iterative Instance Adjustment for Imbalanced Domains. Original paper: "Addressing imbalanced classification with instance generation techniques: IPADE-ID" by Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García and Francisco Herrera.

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Instance Constructors

  1. new IterativeInstanceAdjustmentImbalancedDomains(data: Data, seed: Long = System.currentTimeMillis(), minorityClass: Any = -1)

    data

    localTrainData to work with

    seed

    seed to use. If it is not provided, it will use the system time

    minorityClass

    indicates the minority class. If it's set to -1, it will set to the one with less instances

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  1. final def !=(arg0: Any): Boolean
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  11. final def ne(arg0: AnyRef): Boolean
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  13. final def notifyAll(): Unit
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  14. def sample(file: Option[String] = None, iterations: Int = 100, strategy: Int = 1, randomChoice: Boolean = true): Data

    Compute Iterative Instance Adjustment for Imbalanced Domains undersampling

    Compute Iterative Instance Adjustment for Imbalanced Domains undersampling

    file

    file to store the log. If its set to None, log process would not be done

    iterations

    number of iterations used in Differential Evolution

    strategy

    strategy used in the mutation process of Differential Evolution

    randomChoice

    whether to choose a random individual or not

    returns

    Data structure with all the important information

  15. final def synchronized[T0](arg0: ⇒ T0): T0
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  17. final def wait(): Unit
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  18. final def wait(arg0: Long, arg1: Int): Unit
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  19. final def wait(arg0: Long): Unit
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  1. def finalize(): Unit
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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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