Difference between revisions of "2014 Winter Project Week:ParameterSerialization"
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| − | * Add JsonCpp and ParameterSerializer to the Slicer superbuild. | + | * Add [http://jsoncpp.sourceforge.net/ JsonCpp] and [https://github.com/TubeTK/TubeTK-ParameterSerializer ParameterSerializer] to the Slicer superbuild. |
| − | * Enable the SlicerExecutionModel_USE_SERIALIZER in SlicerExecutionModel. | + | * Enable the SlicerExecutionModel_USE_SERIALIZER in [https://github.com/Slicer/SlicerExecutionModel SlicerExecutionModel]. |
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Revision as of 23:10, 2 January 2014
Home < 2014 Winter Project Week:ParameterSerialization
Key Investigators
Matt McCormick, Kitware
Project Description
Objective
- Many analysis algorithms have advanced parameters that must be tuned to work with given datasets.
- Exposing all the advanced parameters in the GUI confuses a user who is only interested in applying the algorithm.
- Exploring an algorithm parameter space is more thorough, efficient, and revealing when done programmically instead of manually in a GUI.
- Provenance with saved parameter files is important for reproducibility.
- The object is to allows CLI modules serialize and deserialize CLI parameters in a JSON file.
- The CLI XML parameters can then be used for "important" or "common" parameters can be tweaked by a user.
- Advanced parameters that deviate from the default can be stored in the file for manual or programmatic adjustment.
- JSON is format that is concise, has good human readability and editability, and widely supported by programming languages.
Approach, Plan
- Create a unit test.
- Add JsonCpp and ParameterSerializer to the Slicer superbuild.
- Enable the SlicerExecutionModel_USE_SERIALIZER in SlicerExecutionModel.
