chore(release): 0.7.2

CHANGELOG.md

@@ -2,6 +2,18 @@
 
 All notable changes to this project will be documented in this file. See [standard-version](https://github.com/conventional-changelog/standard-version) for commit guidelines.
 
+### [0.7.2](https://gitea.deepak.science:2222/physics/deepdog/compare/0.7.1...0.7.2) (2023-07-24)
+
+
+### Features
+
+* clamps results now ([9bb8fc5](https://gitea.deepak.science:2222/physics/deepdog/commit/9bb8fc50fe1bd1a285a333c5a396bfb6ac3176cf))
+
+
+### Bug Fixes
+
+* fixes clamping format etc. ([a170a3c](https://gitea.deepak.science:2222/physics/deepdog/commit/a170a3ce01adcec356e5aaab9abcc0ec4accd64b))
+
 ### [0.7.1](https://gitea.deepak.science:2222/physics/deepdog/compare/0.7.0...0.7.1) (2023-07-24)
 
 

deepdog/bayes_run_with_ss.py

@@ -20,6 +20,8 @@ CHUNKSIZE = 50
 DotInput = Tuple[numpy.typing.ArrayLike, float]
 
 
+CLAMPING_FACTOR = 10
+
 _logger = logging.getLogger(__name__)
 
 
@@ -193,10 +195,12 @@ class BayesRunWithSubspaceSimulation:
 
 			for (name, result) in zip(self.model_names, results):
 				if result.over_target_likelihood is None:
-					_logger.error("got a none result, bye")
-					return
-				likelihoods.append(result.over_target_likelihood)
-				row[f"{name}_likelihood"] = result.over_target_likelihood
+					clamped_likelihood = result.probs_list[-1][0] / CLAMPING_FACTOR
+					_logger.warning(f"got a none result, clamping to {clamped_likelihood}")
+				else:
+					clamped_likelihood = result.over_target_likelihood
+				likelihoods.append(clamped_likelihood)
+				row[f"{name}_likelihood"] = clamped_likelihood
 
 			success_weight = sum(
 				[

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "deepdog"
-version = "0.7.1"
+version = "0.7.2"
 description = ""
 authors = ["Deepak Mallubhotla <dmallubhotla+github@gmail.com>"]