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fix: fixes bug with clamped probabilities being underestimated

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This commit is contained in:
Deepak Mallubhotla
2023-07-27 17:05:33 -05:00
parent 33d5da6a4f
commit e6defc7948
1 changed files with 5 additions and 3 deletions
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8
deepdog/subset_simulation/subset_simulation_impl.py
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@@ -120,7 +120,7 @@ class SubsetSimulation:
mcmc_rng = numpy.random.default_rng(self.mcmc_seed)
for i in range(self.m_max):
next_seeds = all_chains[-self.n_c:]
next_seeds = all_chains[-self.n_c :]
if self.dump_last_generations:
_logger.info("writing out csv file")
@@ -153,7 +153,9 @@ class SubsetSimulation:
for seed_index, (c, s) in enumerate(next_seeds):
# chain = mcmc(s, threshold_cost, n_s, model, dot_inputs_array, actual_measurement_array, mcmc_rng, curr_cost=c, stdevs=stdevs)
# until new version gotta do
_logger.debug(f"\t{seed_index}: getting another chain from the next seed")
_logger.debug(
f"\t{seed_index}: getting another chain from the next seed"
)
chain = self.model.get_mcmc_chain(
s,
self.cost_function_to_use,
@@ -242,7 +244,7 @@ class SubsetSimulation:
# _logger.info(f"\t{prob}: {prob_cost}")
probs_list.sort(key=lambda c: c[0], reverse=True)
min_likelihood = ((1) / (self.n_c * self.n_s)) / (self.n_s ** (self.m_max + 1))
min_likelihood = ((1) / (self.n_c * self.n_s)) / (self.n_s ** (self.m_max))
result = SubsetSimulationResult(
probs_list=probs_list,