org.apache.spark.mllib.util

LogisticRegressionDataGenerator

object LogisticRegressionDataGenerator

Generate test data for LogisticRegression. This class chooses positive labels with probability probOne and scales features for positive examples by eps.

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  11. def generateLogisticRDD(sc: SparkContext, nexamples: Int, nfeatures: Int, eps: Double, nparts: Int = 2, probOne: Double = 0.5): RDD[LabeledPoint]

    Generate an RDD containing test data for LogisticRegression.

    Generate an RDD containing test data for LogisticRegression.

    sc

    SparkContext to use for creating the RDD.

    nexamples

    Number of examples that will be contained in the RDD.

    nfeatures

    Number of features to generate for each example.

    eps

    Epsilon factor by which positive examples are scaled.

    nparts

    Number of partitions of the generated RDD. Default value is 2.

    probOne

    Probability that a label is 1 (and not 0). Default value is 0.5.

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