| # bayesian_model.py | |
| import pyro | |
| import pyro.distributions as dist | |
| import torch | |
| def failure_model(observations=None): | |
| # Priors for component types | |
| switch_failure_rate = pyro.sample("switch_failure", dist.Beta(1, 10)) | |
| server_failure_rate = pyro.sample("server_failure", dist.Beta(1, 20)) | |
| # ... likelihood based on observations | |
| return switch_failure_rate, server_failure_rate |