I have been looking for implementations of Learning-NEAT in python, as described in NeuroEvolution of Augmenting Topologies with Learning for Data Classification article LinkToArticle.
In that paper, they show the results of Learning_NEAT to Classify Iris Data, as shown below:
However, there appears to be no implementation for it in python, or any source code from the paper. I also found this Github repository CoDeepNEAT_Link where they have a library but show no example on how it should be done.
Could you share some ideas on how to implement one of those algorithms for classification tasks?