Package smile.validation.metric

Class RMSE

java.lang.Object
smile.validation.metric.RMSE
All Implemented Interfaces:
Serializable, ToDoubleBiFunction<double[],double[]>, RegressionMetric
public class RMSE extends Object implements RegressionMetric
Root mean squared error.
See Also:

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final RMSE
    instance
    Default instance.

  • Constructor Summary

    Constructors
    Constructor
    Description
    RMSE()
    Constructor.

  • Method Summary

    Modifier and Type
    Method
    Description
    static double
    of(double[] truth, double[] prediction)
    Calculates the root mean squared error.
    double
    score(double[] truth, double[] prediction)
    Returns a score to measure the quality of regression.
    String
    toString()
     

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

    Methods inherited from interface smile.validation.metric.RegressionMetric

    applyAsDouble

  • Field Details

    • instance

      public static final RMSE instance
      Default instance.

  • Constructor Details

    • RMSE

      public RMSE()
      Constructor.

  • Method Details

    • score

      public double score(double[] truth, double[] prediction)
      Description copied from interface: RegressionMetric
      Returns a score to measure the quality of regression.
      Specified by:
      score in interface RegressionMetric
      Parameters:
      truth - the true response values.
      prediction - the predicted response values.
      Returns:
      the metric.

    • of

      public static double of(double[] truth, double[] prediction)
      Calculates the root mean squared error.
      Parameters:
      truth - the ground truth.
      prediction - the prediction.
      Returns:
      the metric.

    • toString

      public String toString()
      Overrides:
      toString in class Object