Help with Mixture of Weibull Distribution

Questions
3

Thanks @junpenglao

I was trying to create a mixture of 2 weibull distributions and am facing few issues with that line

import pymc3 as pm
import numpy as np

#Use iterable of distributions instead of array of random variables
with pm.Model() as weibull_2seg_2clust_withspike:
    gamma_alpha = pm.Uniform('gamma_alpha', lower=0.0, upper=30.0)
    gamma_beta = pm.Uniform('gamma_beta', lower=0.0, upper=30.0)
    shape1 = pm.Uniform('shape1', lower=0.0, upper=30.0)
    scale1 = pm.Gamma('scale1', alpha=gamma_alpha, beta=gamma_beta)
    shape2 = pm.Uniform('shape2', lower=0.0, upper=30.0)
    scale2 = pm.Gamma('scale2', alpha=gamma_alpha, beta=gamma_beta)   
    
    #weibull1 = pm.Weibull('weibull1', alpha=shape1, beta=scale1)
    #weibull2 = pm.Weibull('weibull2', alpha=shape2, beta=scale2)   
    #obs = pm.Normal('obs', mu=weibull1 + weibull2 , sd=10, observed=[1,2,3,4,5])
    
    weibull1 = pm.Weibull.dist(alpha=shape1, beta=scale1)
    weibull2 = pm.Weibull.dist(alpha=shape2, beta=scale2)
    
    w = pm.Dirichlet('w', a=np.array([1, 1]))
    obs = pm.Mixture('obs', w=w, comp_dists=[weibull1, weibull2], observed=[1,2,3,4,5])
    
    trace = pm.sample(1000)