symbol_regression.py 文件源码

def eval_func(individual, points):
    # Transform the tree expression in a callable function
    func = toolbox.compile(expr=individual)

    # Evaluate the mean squared error
    mse = ((func(x) - (2 * x**3 - 3 * x**2 + 4 * x - 1))**2 for x in points)

    return math.fsum(mse) / len(points),

# Function to create the toolbox