Interface SmileRegressor.Trainer

All Superinterfaces:
Serializable
Enclosing class:
SmileRegressor
Functional Interface:
This is a functional interface and can therefore be used as the assignment target for a lambda expression or method reference.
@FunctionalInterface public static interface SmileRegressor.Trainer extends Serializable
Functional interface for training a SMILE regression model on double feature arrays.

  • Method Summary

    Modifier and Type
    Method
    Description
    Regression<double[]>
    fit(double[][] x, double[] y)
    Fits a SMILE regression model.

  • Method Details

    • fit

      Regression<double[]> fit(double[][] x, double[] y)
      Fits a SMILE regression model.
      Parameters:
      x - the feature matrix.
      y - the continuous target values.
      Returns:
      the fitted regression model.