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class RU extends AnyRef

Compute a random algorithm. Original paper: "A study of the behavior of several methods for balancing machine learning training data" by Batista, Gustavo EAPA and Prati, Ronaldo C and Monard, Maria Carolina.

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Instance Constructors

  1. new RU(data: Data, seed: Long = System.currentTimeMillis(), ratio: Double = 1.0, replacement: Boolean = false, verbose: Boolean = false)

    data

    data to work with

    seed

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

    ratio

    ratio to know how many majority class examples to preserve. By default it's set to 1 so there will be the same minority class examples as majority class examples. It will take numMinorityInstances * ratio

    replacement

    whether or not to sample randomly with replacement or not. false by default

    verbose

    choose to display information about the execution or not

Value Members

  1. final def !=(arg0: Any): Boolean
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    protected[java.lang]
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  6. def compute(): Data

    Compute the RU algorithm.

    Compute the RU algorithm.

    returns

    undersampled data structure

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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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