Module io.jenetics.prog

Package io.jenetics.prog.regression

package io.jenetics.prog.regression
  • Class
    Description
    Complexity<T>
    Represents a complexity measure if a given program tree.
    Error<T>
    This function calculates the overall error of a given program tree.
    LossFunction<T>
    This function evaluates how well an evolved program tree fits the given sample data set.
    Regression<T>
    This class implements a symbolic regression problem.
    Sample<T>
    Represents a sample point used for the symbolic regression task.
    SampleBuffer<T>
    This class holds the actual sample values which are used for the symbolic regression example.
    Sampling<T>
    This interface represents a set of sample points, which can be evaluated with a given evolved program.
    Sampling.Result<T>
    This class represents the result of a sample calculation, which contains the array of calculated values and a corresponding array with expected sample values.