Add model sampling to Surrogate for batch generation #4109
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
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## main #4109 +/- ##
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- Coverage 96.08% 96.08% -0.01%
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Files 566 566
Lines 57104 57174 +70
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+ Hits 54868 54934 +66
- Misses 2236 2240 +4 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
bletham
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
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Summary: Pull Request resolved: facebook#4109 Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Differential Revision: D77252555
Summary: ModelConfig has a name field that is optional. MBM Surrogate needs an identifier for model; currently uses name if present, or just drops the model if not when storing eval results. MBM Generator needs an identifier for model and uses name if present, or str(model_config) if not. This cleans things up a bit by providing an identifier for ModelConfig that will always exist and so can be used in the place of name and clean up logic in the other parts of MBM. The identifier follows what was done in MBM Generator for tracking gen metadata: it is name if name exists, otherwise a string dump of the model config. Reviewed By: sdaulton Differential Revision: D78560884
Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality). Reviewed By: sdaulton Differential Revision: D77252555
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This pull request has been merged in c5856a6. |
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Summary: Adds a "models_for_gen(n)" method to Surrogate that will constructs a list of n models from which to generate n candidates. The list of models is constructed by sampling from the given ModelConfigs according to their model selection eval criterion (taken as a measure of model quality).
Differential Revision: D77252555