gpRegression.py 文件源码

def eval_symb_reg(individual, points, values):
        try:
            func = toolbox.compile(expr=individual)
            sqerrors = [(func(*z) - valx)**2 for z, valx in zip(points, values)]
            return math.log10(math.sqrt(math.fsum(sqerrors)) / len(points)),
        except OverflowError:
            return 1000.0,

# register the selection and genetic operators - tournament selection and, one point crossover and sub-tree mutation