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abs - allow smaller beta increments #404

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Merged
fmckenna merged 2 commits into from
Jul 18, 2025
Merged

abs - allow smaller beta increments #404

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53714ba
abs - relaxing the minimum beta restriction
bsaakash Jul 18, 2025
702be12
Merge pull request #9 from NHERI-SimCenter/master
bsaakash Jul 18, 2025
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8 changes: 4 additions & 4 deletions modules/performUQ/UCSD_UQ/tmcmcFunctions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -371,10 +371,10 @@ def compute_beta_evidence(beta, log_likelihoods, logFile, threshold=1.0): # noq
# if ((cov_weights > (threshold+0.00000005)) or (std_weights == 0)):
# dBeta = dBeta*0.99999999

if dBeta < 1e-3: # noqa: PLR2004
dBeta = 1e-3 # noqa: N806
weights, cov_weights, std_weights = get_weights(dBeta, log_likelihoods)
break
# if dBeta < 1e-3:
# dBeta = 1e-3
# weights, cov_weights, std_weights = get_weights(dBeta, log_likelihoods)
# break
weights, cov_weights, std_weights = get_weights(dBeta, log_likelihoods)

beta = beta + dBeta
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2 changes: 1 addition & 1 deletion modules/performUQ/common/adaptive_doe.py
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Expand Up @@ -152,7 +152,7 @@ def select_training_points(
scaled_candidates = self._scale(candidate_pool)
scaled_mci_samples = self._scale(mci_samples)

# 3. Fit GP with dummy outputs
# 3. Set GP inputs
self.gp_model_for_doe.set_XY(
scaled_x_train, np.zeros((scaled_x_train.shape[0], 1))
)
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