You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
It seems to me we have reached the point where some of the awesome advanced features of hal-cgp may be too hidden from the user. We should enrich the README with an overview such that users at least knows that these features exist. Maybe each of these items could then link to a documentation page or, maybe even better, an example. Let's collect all advanced features in this issue first.
Advanced features
parallel fitness evaluation
translation of grah into numpy/torch/sympy compatible functions
individuals with multiple genomes/encoded functions
hurdles
custom operators
local search of parameters (gradient based and evolutionary strategies)
It seems to me we have reached the point where some of the awesome advanced features of hal-cgp may be too hidden from the user. We should enrich the README with an overview such that users at least knows that these features exist. Maybe each of these items could then link to a documentation page or, maybe even better, an example. Let's collect all advanced features in this issue first.
Advanced features
Please feel free to extend this list @mschmidt87 @HenrikMettler.
The text was updated successfully, but these errors were encountered: