neat-python
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Python implementation of the NEAT neuroevolution algorithm
Have been getting this issue while importing config-feedforwad from examples/xor I am new to this so open to corrections Code Written with Help/Reference from : https://gitlab.com/lucasrthompson/Sonic-Bot-In-OpenAI-and-NEAT/-/tree/master [Tutorial] Code Enclosed :...
When I am trying to run with parallel evaluation, I receive the error below. The way I call it: `def eval_genomes(genomes, config): for genome_id, genome in genomes: genome.fitness = 4.0...
Hello, I normally use genetic algorithms for optimization processes. I can specify within which limits the individual produced in genetic algorithms can take value, and the algorithm produces values within...
Hi, Sorry if this is not an issue, but I was wondering if an explanation of the graph visualisations (net structure) was documented anywhere? I'm looking at some of the...
Is there a way to view what the final neural network structure (and/or the final hidden nodes) looks like after training?
An error in the algorithm is to give a new node number (key, innovation number) each time an "add node" mutation occurs. This causes each added node to have a...
My programme completed the learning part and I want to use the winner for execution. I did save checkpoints and output the winner network to a txt file. Other than...
on Population.run(), while compiling statistics for reporting, the methods looks for the genome with the highest fitness value irrespective of what was set under fitness_criterion. best = None for g...
When initiating networks with hidden nodes, compatibility_weight_coefficient set to zero and all structural mutation rates set to zero the first generation still has a genetic distance that is greater than...
Within the neat-python-0.92/examples/single-pole-balancing/README.md there is an instruction to run the feedforward-test.py file. No such file exists, and the correct file to run is test-feedforward.py, so there appears to either be...