Update HSS dummy value logic & expose it in Cast #2362
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…casting parameterization (facebook#2361) Summary: When `check_all_parameters_present=True`, we error out if any parameter is missing. When it is False, we need to tolerate any missing parameters and ignore that branch of the HSS tree -- not doing so would be ignoring the argument. The previous implementation would error out while trying to look up the value of the missing parameter if it had dependents. Reviewed By: Balandat Differential Revision: D56084081
Summary: Updates `HSS.flatten_observation_features` to add dummy values even when the full parameterization is recorded in metadata, as long as `inject_dummy_values_to_complete_flat_parameterization=True` & there are missing parameters. Also exposes this setting in `Cast`, to make it usable in experiments. Differential Revision: D53029754
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Summary: Updates
HSS.flatten_observation_featuresto add dummy values even when the full parameterization is recorded in metadata, as long asinject_dummy_values_to_complete_flat_parameterization=True& there are missing parameters. Also exposes this setting inCast, to make it usable in experiments.Differential Revision: D53029754