org.apache.spark.mllib.regression

RegressionModel

trait RegressionModel extends Serializable

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@Since( "0.8.0" ) @Experimental()
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LassoModel, LinearRegressionModel, RidgeRegressionModel
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  1. abstract def predict(testData: Vector): Double

    Predict values for a single data point using the model trained.

    Predict values for a single data point using the model trained.

    testData

    array representing a single data point

    returns

    Double prediction from the trained model

    Annotations
    @Since( "1.0.0" )

  2. abstract def predict(testData: RDD[Vector]): RDD[Double]

    Predict values for the given data set using the model trained.

    Predict values for the given data set using the model trained.

    testData

    RDD representing data points to be predicted

    returns

    RDD[Double] where each entry contains the corresponding prediction

    Annotations
    @Since( "1.0.0" )

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  17. def predict(testData: JavaRDD[Vector]): JavaRDD[Double]

    Predict values for examples stored in a JavaRDD.

    Predict values for examples stored in a JavaRDD.

    testData

    JavaRDD representing data points to be predicted

    returns

    a JavaRDD[java.lang.Double] where each entry contains the corresponding prediction

    Annotations
    @Since( "1.0.0" )

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