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Add fully discrete, unordered benchmark problem #3211
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This pull request was exported from Phabricator. Differential Revision: D67535995 |
Summary: This PR: * Moves `IdentityTestFunction` from test stubs to new file `benchmark/test_functions/synthetic.py`. * Adds `get_bandit_problem`, which uses a discrete search space on values 0, 1, ...9, so it can produce ground-truth metric values 0, 1, ... 9. It uses the inference trace (based on model-recommended best point) for scoring. Reviewed By: Balandat Differential Revision: D67535995
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This pull request was exported from Phabricator. Differential Revision: D67535995 |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #3211 +/- ##
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Coverage 95.86% 95.87%
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Files 510 513 +3
Lines 51586 51636 +50
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+ Hits 49455 49505 +50
Misses 2131 2131 ☔ View full report in Codecov by Sentry. |
Summary: This PR: * Moves `IdentityTestFunction` from test stubs to new file `benchmark/test_functions/synthetic.py`. * Adds `get_bandit_problem`, which uses a discrete search space on values 0, 1, ...9, so it can produce ground-truth metric values 0, 1, ... 9. It uses the inference trace (based on model-recommended best point) for scoring. Reviewed By: Balandat Differential Revision: D67535995
cc665ba
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c37c655
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This pull request was exported from Phabricator. Differential Revision: D67535995 |
Summary: This PR: * Moves `IdentityTestFunction` from test stubs to new file `benchmark/test_functions/synthetic.py`. * Adds `get_bandit_problem`, which uses a discrete search space on values 0, 1, ...9, so it can produce ground-truth metric values 0, 1, ... 9. It uses the inference trace (based on model-recommended best point) for scoring. Reviewed By: Balandat Differential Revision: D67535995
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This pull request was exported from Phabricator. Differential Revision: D67535995 |
This pull request has been merged in c561e7a. |
Summary:
This PR:
IdentityTestFunction
from test stubs to new filebenchmark/test_functions/synthetic.py
.get_bandit_problem
, which uses a discrete search space on values 0, 1, ...9, so it can produce ground-truth metric values 0, 1, ... 9. It uses the inference trace (based on model-recommended best point) for scoring.Reviewed By: Balandat
Differential Revision: D67535995