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org.apache.spark.mllib.feature

MDLPDiscretizer

Related Docs: class MDLPDiscretizer | package feature

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object MDLPDiscretizer extends Serializable

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  17. def train(input: RDD[LabeledPoint], continuousFeaturesIndexes: Option[Seq[Int]] = None, maxBins: Int = 15, maxByPart: Int = 100000): DiscretizerModel

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    Train a entropy minimization discretizer given an RDD of LabeledPoints.

    Train a entropy minimization discretizer given an RDD of LabeledPoints.

    input

    RDD of LabeledPoint's.

    continuousFeaturesIndexes

    Indexes of features to be discretized. If it is not provided, the algorithm selects those features with more than 256 (byte range) distinct values.

    maxBins

    Maximum number of thresholds to select per feature.

    maxByPart

    Maximum number of elements by partition.

    returns

    A DiscretizerModel with the subsequent thresholds.

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