TPOT is a Python automated machine learning tool that optimizes machine learning pipelines by using genetic programming. In artificial intelligence, genetic algorithms are part of the class of evolutionary algorithms. A characteristic of the latter is finding solutions to problems by using techniques that are borrowed from natural evolution. The search for a solution to a problem is entrusted to an iterative process that selects and recombines more and more refined solutions until a criterion of optimality is reached. In a genetic algorithm, the population of solutions is pushed toward a given objective by evolutionary pressure.
Using AutoML to generate machine learning pipelines with TPOT
Getting ready
In this recipe, you...
