Using Pymc to build LDA model (codes attached at the end), running into errors: AttributeError: module ‘pymc’ has no attribute ‘Lambda’; AttributeError: module ‘pymc’ has no attribute ‘Container’.

Additional details -

```
PyMC Version: 4.1.4
Theano Version:1.0.5
Python Version:3.7.4
Operating system:mac
How did you install PyMC: tried both pip and conda
```

Codes to implement -

```
import numpy as np
import pymc as pm
K = 2 # number of topics
V = 4 # number of words
D = 3 # number of documents
data = np.array([[1, 1, 1, 1], [1, 1, 1, 1], [0, 0, 0, 0]])
alpha = np.ones(K)
beta = np.ones(V)
theta = pm.Container([pm.CompletedDirichlet("theta_%s" % i, pm.Dirichlet("ptheta_%s" % i, theta=alpha)) for i in range(D)])
phi = pm.Container([pm.CompletedDirichlet("phi_%s" % k, pm.Dirichlet("pphi_%s" % k, theta=beta)) for k in range(K)])
Wd = [len(doc) for doc in data]
z = pm.Container([pm.Categorical('z_%i' % d,
p = theta[d],
size=Wd[d],
value=np.random.randint(K, size=Wd[d]))
for d in range(D)])
# cannot use p=phi[z[d][i]] here since phi is an ordinary list while z[d][i] is stochastic
w = pm.Container([pm.Categorical("w_%i_%i" % (d,i),
p = pm.Lambda('phi_z_%i_%i' % (d,i),
lambda z=z[d][i], phi=phi: phi[z]),
value=data[d][i],
observed=True)
for d in range(D) for i in range(Wd[d])])
model = pm.Model([theta, phi, z, w])
mcmc = pm.MCMC(model)
```