This repository was archived by the owner on Nov 20, 2024. It is now read-only.
V-1.0.0 changelog
V1.0.0 introduces a new structure in PARCS, where declaration and randomization of the DAGs can be done easier and more effectively.
New Structure
- Description objects:
pyparcs.Descriptionclass handles the functionalities about declaring and randomization of DAGs. Parameter and connection randomization functions are now methods ofDescription. Thepyparcs.RandomDescriptionpresents the graph randomization. - Guideline objects:
pyparcs.Guidelineandpyparcs.GuidelineIteratorhandle the functionalities about providing randomization guidelines. - Graph objects:
pyparcs.Graphobject now receives description objects as input (instead of node/edge). It throws an error if the description is still partially specified.
Improvements
- Reading outline information: the
Description.outlineattribute can be called at any time (before or after randomization) to return the updated outline information. - Randomization tags: by assigning tags to outline lines, we can mark the nodes and edges for selective randomization. This way, a partially-specified outline can be randomized using more than one guideline.
- Randomizing coefficients: randomizing single coefficients (e.g.
mu_=2X-?Y) is now possible. - infer edges: trivial edges can be inferred, based on the name of the parent nodes which appear in child node lines.
- faster sampling: sampling procedures is in the order of x100 faster after code optimization.
Documentation
API and diagrams are added to the documentation, for better understanding of the PARCS mechanics.