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org.apache.spark.mllib.feature

MDLPDiscretizer

Related Docs: object MDLPDiscretizer | package feature

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class MDLPDiscretizer extends Serializable with Logging

Entropy minimization discretizer based on Minimum Description Length Principle (MDLP) proposed by Fayyad and Irani in 1993 [1].

[1] Fayyad, U., & Irani, K. (1993). "Multi-interval discretization of continuous-valued attributes for classification learning."

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    RDD of LabeledPoint

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  14. def log: Logger

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  20. def logInfo(msg: ⇒ String): Unit

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  21. def logName: String

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  29. def runAll(contFeat: Option[Seq[Int]], elementsByPart: Int, maxBins: Int): DiscretizerModel

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    Run the entropy minimization discretizer on input data.

    Run the entropy minimization discretizer on input data.

    contFeat

    Indices to discretize (if not specified, the algorithm try to figure it out).

    elementsByPart

    Maximum number of elements to keep in each partition.

    maxBins

    Maximum number of thresholds per feature.

    returns

    A discretization model with the thresholds by feature.

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

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