如何在pymc3中计算相关性

Question

我有三个变量（nodes1，nodes2，nodes3）和一个函数f（nodes1，nodes2，nodes3） 如何在每个对变量之间以及具有函数f（nodes1，nodes2，nodes3）的每个变量之间进行计算。

以下是我的代码。

a= -1.24
b=0.011
c=0.005
d=-0.0004
e=0.16
f=-0.00013
g=-2.01e-6
k=-0.002
m=-4.03e-5
l=0.0165


basic_model = pm.Model()

with basic_model:
    nodes1 = pm.Normal('nodes1', 0.06, 0.006)
    nodes2 = pm.Normal('nodes2', 1, 0.06)
    nodes3 = pm.Normal('nodes3', 50.06, 2.88)


    # likehood function
    mu=a*nodes1**2+b*nodes1*nodes2+c*nodes2**2+d*nodes1*nodes3+e*nodes1+f*nodes2*nodes3+g*nodes3**2+k*nodes2+m*nodes3+l

    # posterior distribution
    y=pm.Normal('y', mu, 1, observed=evals)
    trace = pm.sample(10000, cores =1)

    pm.traceplot(trace,varnames= ['nodes1','nodes2','nodes3'])
    k = pm.summary(trace).round(2)
    pm.plot_posterior (trace, varnames= ['nodes1','nodes2','nodes3'])
    tracedf1 = pm.trace_to_dataframe (trace, varnames = ['nodes1','nodes2','nodes3'])
    sns.pairplot(tracedf1 )
print (k)
plt.show()

谢谢