feat: clamps results now
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@@ -20,6 +20,8 @@ CHUNKSIZE = 50
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DotInput = Tuple[numpy.typing.ArrayLike, float]
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CLAMPING_FACTOR = 10
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_logger = logging.getLogger(__name__)
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@@ -192,11 +194,12 @@ class BayesRunWithSubspaceSimulation:
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likelihoods: List[float] = []
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for (name, result) in zip(self.model_names, results):
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clamped_likelihood = result.over_target_likelihood
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if result.over_target_likelihood is None:
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_logger.error("got a none result, bye")
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return
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likelihoods.append(result.over_target_likelihood)
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row[f"{name}_likelihood"] = result.over_target_likelihood
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clamped_likelihood = result.probs_list[-1][0] / CLAMPING_FACTOR
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_logger.warning(f"got a none result, clamping to {}")
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likelihoods.append(clamped_likelihood)
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row[f"{name}_likelihood"] = result.clamped
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success_weight = sum(
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[
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