Examples Index ============== .. list-table:: :header-rows: 1 * - Example - File * - Basic pipeline - ``tests/simple_pipeline.yaml`` * - Pipeline defaults - ``tests/test_pipeline_defaults.yaml`` * - Model fitting (traditional) - ``tests/pipeline_model_fitting.yaml`` * - Model fitting (flexible parameters) - ``docs/source/examples/pipeline_model_fitting_flexible.yaml`` * - Model fitting (nested paths) - ``docs/source/examples/pipeline_model_fitting_nested_path.yaml`` * - Model fitting (slicer integration) - ``docs/source/examples/pipeline_model_fitting_slicer_integration.yaml`` * - Model fitting (multiple operations) - ``docs/source/examples/pipeline_model_fitting_multiple_operations.yaml`` * - Parametric sweep - ``tests/parametric_sweep_demo.yaml`` How to run these examples ------------------------- **Basic pipeline** Inspect: ``semantiva inspect tests/simple_pipeline.yaml --extended`` Run: ``semantiva run tests/simple_pipeline.yaml -v`` **Model fitting (tutorial)** — see :doc:`workflows_fitting_models` Inspect: ``semantiva inspect tests/pipeline_model_fitting.yaml --extended`` Execute: use the Python snippet on the tutorial page to seed context; CLI context injection is planned. **Model fitting (flexible parameters)** — see :doc:`workflows_fitting_models` Advanced model fitting with custom parameter names and flexible data structures. Inspect: ``semantiva inspect docs/source/examples/pipeline_model_fitting_flexible.yaml --extended`` **Model fitting (nested paths)** — see :doc:`workflows_fitting_models` Demonstrates nested path extraction using dot notation for complex data structures. Inspect: ``semantiva inspect docs/source/examples/pipeline_model_fitting_nested_path.yaml --extended`` **Model fitting (slicer integration)** — see :doc:`workflows_fitting_models` Shows integration with slicer outputs and aggregated data processing. Inspect: ``semantiva inspect docs/source/examples/pipeline_model_fitting_slicer_integration.yaml --extended`` **Model fitting (multiple operations)** — see :doc:`workflows_fitting_models` Demonstrates multiple fitting operations on different aspects of the same data. Inspect: ``semantiva inspect docs/source/examples/pipeline_model_fitting_multiple_operations.yaml --extended`` **Parametric sweep** — see :doc:`data_processors` Inspect: ``semantiva inspect tests/parametric_sweep_demo.yaml --extended`` Run: ``semantiva run tests/parametric_sweep_demo.yaml -v``