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The solver.py refactoring renamed most solver classes from *Solver to *Model (e.g. DistributedSolver → DistributedModel). The docs still referenced the old names, causing the Quarto site build to fail with: ImportError: cannot import name 'DistributedSolver' from 'mlsysim' - Fix executable code cells in tutorials/distributed.qmd - Update non-executable code examples across 10 doc files - Rename 19 API reference files from *Solver.qmd to *Model.qmd - SensitivitySolver and SynthesisSolver retain their names (correct) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
51 lines
2.2 KiB
Plaintext
51 lines
2.2 KiB
Plaintext
# core.solver.ResponsibleEngineeringModel { #mlsysim.core.solver.ResponsibleEngineeringModel }
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```python
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core.solver.ResponsibleEngineeringModel()
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```
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Analyzes the 'Responsibility Tax' — the systems cost of ethical mandates.
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This solver models the physical overheads (compute, data, carbon) required
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to satisfy mandates for privacy (DP-SGD), fairness (sub-group representation),
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and sustainability (embodied manufacturing carbon).
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Literature Source:
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1. Abadi et al. (2016), "Deep Learning with Differential Privacy."
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2. Gupta et al. (2021), "ACT: Architectural Carbon Modeling."
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3. Janapa Reddi et al. (2025), Chapter 15 (Responsible Engineering).
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## Methods
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| Name | Description |
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| --- | --- |
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| [solve](#mlsysim.core.solver.ResponsibleEngineeringModel.solve) | Solves for the overheads of responsible engineering mandates. |
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### solve { #mlsysim.core.solver.ResponsibleEngineeringModel.solve }
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```python
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core.solver.ResponsibleEngineeringModel.solve(
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workload,
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hardware,
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privacy_epsilon=None,
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fairness_disparity=1.0,
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)
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```
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Solves for the overheads of responsible engineering mandates.
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#### Parameters {.doc-section .doc-section-parameters}
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| Name | Type | Description | Default |
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|--------------------|--------------|--------------------------------------------------------------------------------|------------|
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| workload | Workload | The model workload. | _required_ |
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| hardware | HardwareNode | The execution hardware. | _required_ |
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| privacy_epsilon | float | Differential Privacy budget (ε). Lower means more privacy but higher overhead. | `None` |
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| fairness_disparity | float | Current representation disparity (e.g., 10.0 for 10x disparity). | `1.0` |
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#### Returns {.doc-section .doc-section-returns}
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| Name | Type | Description |
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|--------|------------------|----------------------------------------------------------|
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| | Dict\[str, Any\] | Overhead metrics for compute, data, and embodied carbon. |
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