我尝试运行此代码,但是无论如何简化,我都会遇到相同的错误。
/home/runner/.site-packages/symfit/core/fit.py:1046:运行时警告: 除以true_divide W = 1 / sigma ** 2 / s_sq [:, np.newaxis]
/home/runner/.site-packages/symfit/core/fit.py:1783:> RuntimeWarning:double_scalars中遇到的无效值返回1 SS_res / SS_tot
我们将不胜感激。
x1, ya = sf.variables('x1, ya')
I1, I2, I3, A, B, C, D = sf.parameters('I1, I2, I3, A, B, C, D')
I1.value = 46.483
I2.value = 5.916
I3.value = 21.90
A.value = -3.828*10**(-5)
B.value = 0
C.value = 0
D.value = 0
# Making the equation
ya = (A*x1**3 + B*x1**2 + C*x1 + D + (q_subm*x1**4)/(24*EI)) #q_sub and EI are constants
#model = Model({y: Piecewise((ya, x1 <= I1), (yb, x2 <= I2), (yc, x3 <= I3))})
model = Model({ya})
# As a constraint, we want cable to be at 0 at start and and at "-p" height at x=60
# also no angle in pipe ate those points
constraints = [
Eq(ya.subs({x1: 0}), 0),
Eq(ya.subs({x1: 60}), -p),
Eq(ya.diff(x1).subs({x1: 0}), 0),
Eq(ya.diff(x1).subs({x1: 60}), 0)
]
x1data = np.linspace(0, 60., 60)
y1data = model(x1=x1data, A = -3.828*10**(-5), B = 0, C = 0, D = 0)
np.random.seed(2)
y1data = np.random.normal(y1data, 0.005)
plt.plot([60], [0.4], 'ro')
plt.scatter(x1data, y1data)
plt.savefig('plot.png')
print ('Done plotting fig')
#fit = Fit(model, x=xdata, y=ydata, constraints=constraints)
fit = Fit(model, x1=x1data, constraints=constraints)
print ('Done fitting model')
fit_result = fit.execute()
#print(fit_result)
答案 0 :(得分:1)
我对您的代码有一些评论,也许其中一个可以解决问题。
model = Model({ya})
错误地尝试根据集合建立模型,因为{}
产生了集合。尝试改用model = Model({y: ya})
或model = Model(ya)
。 (我推荐第一个)fit = Fit(model, x=x1data , y=y1data, constraints=constraints)
本质上是正确的,请注意,我将数据数组的名称更改为包含1
。由于您未提供ydata,因此上述示例中的行无法正常工作。type
和q_subm
中的EI
是什么?只要它们是标准的python数字类型,就可以了,但是,如果它们是奇特的东西,则可能会导致问题。Warnings
,在拟合过程中,只要结果正确,某些警告就没有问题。如果不让我知道,我希望这能解决问题。
x1, y = sf.variables('x1, y')
I1, I2, I3, A, B, C, D = sf.parameters('I1, I2, I3, A, B, C, D')
I1.value = 46.483
I2.value = 5.916
I3.value = 21.90
A.value = -3.828*10**(-5)
B.value = 0
C.value = 0
D.value = 0
# Making the equation
ya = (A*x1**3 + B*x1**2 + C*x1 + D + (q_subm*x1**4)/(24*EI)) #q_sub and EI are constants
model = Model({y: ya})
# As a constraint, we want cable to be at 0 at start and and at "-p" height at x=60
# also no angle in pipe ate those points
constraints = [
Eq(ya.subs({x1: 0}), 0),
Eq(ya.subs({x1: 60}), -p),
Eq(ya.diff(x1).subs({x1: 0}), 0),
Eq(ya.diff(x1).subs({x1: 60}), 0)
]
x1data = np.linspace(0, 60., 60)
y1data = model(x1=x1data, A=-3.828*10**(-5), B=0, C=0, D=0)
np.random.seed(2)
y1data = np.random.normal(y1data, 0.005)
plt.plot([60], [0.4], 'ro')
plt.scatter(x1data, y1data)
plt.savefig('plot.png')
print ('Done plotting fig')
fit = Fit(model, x=x1data, y=y1data, constraints=constraints)
fit_result = fit.execute()
print ('Done fitting model')
print(fit_result)