Using AutoML to Generate Machine Learning Pipelines with TPOT

This post will take a different approach to constructing pipelines. Certainly the title gives away this difference: instead of hand-crafting pipelines and hyperparameter optimization, and performing model selection ourselves, we will instead automate these processes. We will use the automated machine learning tool TPOT to do some of our heavy lifting. But first, what is automated machine learning (AutoML)? Therefore, at a fundamental level, we can consider AutoML to be the tasks of algorithm selection, hyperparameter tuning, iterative modeling, and model assessment.