- A program that can find, as the generations passes, better and better ways of training a graph for a machine learning based algorithm in a natural selection manner.
- Mutations take place in every generation in different percentages, but the best of the current generation always remains and multiplies.
- Therefore the general population grows better and better.
- The parameters are easy to change because of their definition in a separate method.
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Code in python written to calculate the best training method for a custom type graph needed for machine learning algorithms
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