Further increases to sample size for coal mining
@@ -15,7 +15,7 @@ def test_coalmining() -> None:
model.disasters.observe(coal_mining.training_data())
net = BayesNet(model.switchpoint.get_connected_graph())
- samples = sample(net=net, sample_from=net.get_latent_vertices(), draws=1000, drop=100, down_sample_interval=5)
+ samples = sample(net=net, sample_from=net.get_latent_vertices(), draws=2000, drop=100, down_sample_interval=5)
vertex_samples: List[numpy_types] = samples["switchpoint"]
vertex_samples_primitive: List[List[primitive_types]] = list(map(
