Package io.jenetics.prog.regression
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Interface Summary Interface 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.Sample<T> Represents a sample point used for the symbolic regression task.Sampling<T> This interface represents a set of sample points, which can be evaluated with a given evolved program. -
Class Summary Class Description Regression<T> This class implements a symbolic regression problem.SampleBuffer<T> This class holds the actual sample values which are used for the symbolic regression example.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.