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feat: clamps results now
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Deepak Mallubhotla
2023-07-24 10:24:23 -05:00
parent f775ed34c6
commit 9bb8fc50fe
1 changed files with 7 additions and 4 deletions
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11
deepdog/bayes_run_with_ss.py
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@@ -20,6 +20,8 @@ CHUNKSIZE = 50
DotInput = Tuple[numpy.typing.ArrayLike, float] DotInput = Tuple[numpy.typing.ArrayLike, float]
CLAMPING_FACTOR = 10
_logger = logging.getLogger(__name__) _logger = logging.getLogger(__name__)
@@ -192,11 +194,12 @@ class BayesRunWithSubspaceSimulation:
likelihoods: List[float] = [] likelihoods: List[float] = []
for (name, result) in zip(self.model_names, results): for (name, result) in zip(self.model_names, results):
clamped_likelihood = result.over_target_likelihood
if result.over_target_likelihood is None: if result.over_target_likelihood is None:
_logger.error("got a none result, bye") clamped_likelihood = result.probs_list[-1][0] / CLAMPING_FACTOR
return _logger.warning(f"got a none result, clamping to {}")
likelihoods.append(result.over_target_likelihood) likelihoods.append(clamped_likelihood)
row[f"{name}_likelihood"] = result.over_target_likelihood row[f"{name}_likelihood"] = result.clamped
success_weight = sum( success_weight = sum(
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