feat(gds-psuu): sensitivity analysis framework#117
Merged
rororowyourboat merged 1 commit intodevfrom Mar 5, 2026
Merged
Conversation
Add sensitivity/ subpackage with pluggable Analyzer ABC and two implementations: - OATAnalyzer: one-at-a-time perturbation (mean_effect, relative_effect) - MorrisAnalyzer: elementary effects screening (mu_star, sigma) SensitivityResult provides ranking() and to_dataframe(). Both analyzers compose with existing Evaluator and ParameterSpace primitives — no new dependencies. 12 new tests. Closes #112
rororowyourboat
force-pushed
the
feat/psuu-sensitivity
branch
from
0500c0b to
7eef78b
Compare
3 tasks
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
sensitivity/subpackage with pluggableAnalyzerABCOATAnalyzer: one-at-a-time perturbation — computesmean_effectandrelative_effectper parameter per KPIMorrisAnalyzer: elementary effects screening — computesmu_star(influence) andsigma(nonlinearity/interactions)SensitivityResultwithranking(kpi, metric=)andto_dataframe()Evaluator+ParameterSpaceprimitives — no new dependenciesTest plan
oat.py, 93% onmorris.pyCloses #112