I am working on a basic example of MCMC sampling for Bayesian estimation using PyMC3. I have a minimally working example of my code below:
# Establish the parameters of the model
p_a = .15
N = 150
n_successes_a = np.random.binomial(N, p_a)
# Build a model using the uniform prior and binomial
with pm.Model() as Model:
# Prior on p
prob = pm.Uniform('p')
# Binomial likelihood
y = pm.Binomial('y', n=N, p=prob, observed=n_successes_a)
# Begin to sample from the posterior distribution
with Model:
samples = pm.sample(2000, njobs=1)
Then when I run this, I get the error: TypeError: function() got an unexpected keyword argument 'njobs'
Any insight as to why this might be happening? I have not been able to find anything online elsewhere providing a substantiative answer.
Thanks.
From https://docs.pymc.io/api/inference.html?highlight=sample#pymc3.sampling.sample
sample()
doesn't accept a njobs
argument. I'm guessing you meant to be setting the cores
argument