RobustOED detailsRobustOED exposes the robustoed-driven nonlinear design workflow with Baranyi presets, manual JSON control, and shared result rendering under the common platform contract.

adapter-python-oed

RobustOED

RobustOED exposes the robustoed-driven nonlinear design workflow with Baranyi presets, manual JSON control, and shared result rendering under the common platform contract.

Objective: O5
Workspace: Technical alpha
Operations: 4

Capabilities

Runs local D-optimal design, sensitivity reporting, uncertainty screening, and robust augmentation from the same Python-native Module.
Supports both preset workflow chaining and direct manual payload submission from the web workspace.
Publishes shared notice, table, and chart render blocks that stay inside the audited same-origin platform flow.

Best used for

Nonlinear OED analysis where the RobustOED Python package feedback loop matters more than the legacy Wolfram surfaces.
Technical-alpha exploration with direct access to auditable intermediate results.

Constraints

The Module stays focused on the documented robustoed-backed workflows and schemas.
Current scope is still technical alpha even though the common protocol and workspace surface are in place.

Protocol surface

Operations

compute_local_d_optimal_design
compute_sensitivity_report
screen_uncertain_parameters
compute_robust_augmentation

Source

This module ships with the mODa platform and is maintained by the platform team. Turn on developer mode in Settings to see the source locations behind it.