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Decision Studio API

Classes

Section titled “Classes”
  • ScenarioResult — scenario_name, optimal_choice, expected_payoff, parameter_adjustments.
  • DecisionStudioSession — Full interactive session state with render_markdown_report(), render_html_dashboard(), and to_dict().

Functions

Section titled “Functions”
  • compute_expected_loss(payoffs: dict[str, float]) -> dict[str, float] — Opportunity loss (regret) relative to the best choice.
  • compute_mcda_scores(criteria_matrix: dict, weights: dict) -> dict[str, float] — Weighted multi-criteria scores.
  • create_decision_studio_session(...) -> DecisionStudioSession
  • validate_decision_studio_session(session_dict: dict, schema_path=None) -> bool
  • load_decision_studio_fixture(fixture_path=None) -> DecisionStudioSession