It is concluded from our stand-up that:
- Indeed, the above suggestion from @jakobsj is neat and intuitive;
- @amal-ghamdi mentioned that, however, implementing such a feature requires direct changes to
density/distribution, which we have deliberately avoided so far. Currently, we do sampling via the interface of BayesianProblem or sampler, instead of with density/distribution directly. Introducing this feature will break this consistency and convention.
recommender does not seem to fit well at the very high level of cuqi, cuqi.utilities or cuqi.sampler.
- We agree that more careful consideration is needed on this issue.
- Therefore, it's decided that we put
recommender back to the experimental module, which is appropriate in the sense that the feature is still experimental.
Originally posted by @chaozg in #693 (comment)
It is concluded from our stand-up that:
density/distribution, which we have deliberately avoided so far. Currently, we do sampling via the interface ofBayesianProblemorsampler, instead of withdensity/distributiondirectly. Introducing this feature will break this consistency and convention.recommenderdoes not seem to fit well at the very high level ofcuqi,cuqi.utilitiesorcuqi.sampler.recommenderback to theexperimentalmodule, which is appropriate in the sense that the feature is still experimental.Originally posted by @chaozg in #693 (comment)