Comments (1)
This should be simplified/obviated if we replace the staged model approach with a DAG approach (#28), so I'm tagging this issue as "won't fix".
In particular, intervenors will have a similar status as any other leaf modules.
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Related Issues (20)
- `ModelInput` and passing intervenor parameters to submodels HOT 1
- `AbstractLTISystem` is not general enough HOT 2
- The suitability of `WhereDict`: lambdas as keys HOT 2
- Automatically caching `AbstractTask.validation_trials` HOT 1
- Does the model need access to the task, at construction time?
- Associate types of intervenors with types of staged models HOT 2
- Pretty printing of inputs and outputs of model stages
- General design concerns with `AbstractStagedModel` and `AbstractIntervenor`
- Intervening on model parameters HOT 2
- Typing `ModelStage` HOT 4
- The abstract-final pattern and generics: should `AbstractState` be eliminated? HOT 7
- Support Python>=3.9
- Return validation losses in `TaskTrainerHistory` HOT 1
- Multiple feedback channels and `MultiModel` HOT 1
- Composition and instantiation of muscle models
- Improve the realism and generality of models of musculoskeletal geometry
- Include muscle activation dynamics in the `AbstractMuscle`, not the `AbstractPlant` instance
- Eliminate `AbstractTaskTrialSpec` HOT 1
- Adding intervenors to model ensembles HOT 2
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