Packages

c

soul.algorithm.oversampling

SafeLevelSMOTE

class SafeLevelSMOTE extends AnyRef

SafeLevel-SMOTE algorithm. Original paper: "Safe-Level-SMOTE: Safe-Level-Synthetic Minority Over-Sampling Technique for Handling the Class Imbalanced Problem" by Chumphol Bunkhumpornpat, Krung Sinapiromsaran, and Chidchanok Lursinsap.

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Instance Constructors

  1. new SafeLevelSMOTE(data: Data, seed: Long = System.currentTimeMillis(), k: Int = 5, dist: Distance = Distance.EUCLIDEAN, normalize: 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

    k

    Number of nearest neighbors

    dist

    object of Distance enumeration representing the distance to be used

    normalize

    normalize the data or not

    verbose

    choose to display information about the execution or not

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  6. def compute(): Data

    Compute the SafeLevelSMOTE algorithm

    Compute the SafeLevelSMOTE algorithm

    returns

    synthetic samples generated

  7. final def eq(arg0: AnyRef): Boolean
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  17. final def wait(arg0: Long, arg1: Int): Unit
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  19. final def wait(): 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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