Delete bayesian_model.py

bayesian_model.py

@@ -1,27 +0,0 @@
-"""
-Pyro model for online learning of component failure probabilities.
-"""
-import pyro
-import pyro.distributions as dist
-import torch
-
-def failure_model(observations=None):
-    """
-    Bayesian model for component failure rates.
-    observations: tensor of observed failures (0/1) for each component.
-    """
-    # Priors for different component types
-    switch_failure_rate = pyro.sample("switch_failure", dist.Beta(1, 10))
-    server_failure_rate = pyro.sample("server_failure", dist.Beta(1, 20))
-    service_failure_rate = pyro.sample("service_failure", dist.Beta(1, 5))
-    
-    # If observations provided, condition on them
-    if observations is not None:
-        with pyro.plate("components", len(observations)):
-            pyro.sample("obs", dist.Bernoulli(probs=...), obs=observations)
-    
-    return {
-        "switch": switch_failure_rate,
-        "server": server_failure_rate,
-        "service": service_failure_rate
-    }