I second of course ! :) we should do it before the release though.
On Jan 6, 2010, at 1:05 PM, Daniel Russel wrote:
> We count use a sampler-level concept. The idea is to provide > something higher level that takes a Model and produces a set of good > scoring models for analysis. Examples would include: > - Domino > - a MC/CG scheme for optimizing sets of spheres (a premature version > is in helpers) > > Currently we have StructureSet which has the needed functionality > and Domino which has some of it too. > > I propose I add a base class to kernel which provides a sample > method which returns a structure set and provides support for the > types of filtering that is currently in StructureSet (eg only keep > solutions with low scores and where restraint r is < 10). This would > also require moving StructureSet to the kernel. > > Something like: > class Sampler { > Sampler(Model *m); > > // find structures to fill > virtual StructureSet* sample(); > > // filtering methods moved from structure set > > protected: > // adds the model to the set if it satisfies the filters > void add_model(); > > }; > > Adding the base class provides a place to put documentation for this > level of interaction. It also would mean that Domino and the MC/CG > protocols would automatically benefit from improvements in filtering > and things as well as have more robust storage management (since > handling changes to things other than optimized attributes can be > tricky). > > Thoughts/Comments? > _______________________________________________ > IMP-dev mailing list > IMP-dev@salilab.org > https://salilab.org/mailman/listinfo/imp-dev