Examples Index¶
Example |
File |
---|---|
Basic pipeline |
|
Pipeline defaults |
|
Model fitting (traditional) |
|
Model fitting (flexible parameters) |
|
Model fitting (nested paths) |
|
Model fitting (slicer integration) |
|
Model fitting (multiple operations) |
|
Parametric sweep |
|
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 Workflows — Fitting Models via model:
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 Workflows — Fitting Models via model:
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 Workflows — Fitting Models via model:
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 Workflows — Fitting Models via model:
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 Workflows — Fitting Models via model:
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 Data Processors
Inspect: semantiva inspect tests/parametric_sweep_demo.yaml --extended
Run: semantiva run tests/parametric_sweep_demo.yaml -v