They promise to automate creation of whole machine learning pipeline - from feature transformations, hyperparameter tuning, to model selection.
Recently, I’ve been seeing a lot of services and products advertising automation of machine learning. Data Robot and H2O.ai offer platforms that allow the creation of machine learning algorithms in point-and-click interfaces. They’ll even do the feature engineering for you! This functionality, or something like it, is slowly being built into various tools and programs. They promise to automate the creation of the whole machine learning pipeline — from feature transformations, hyperparameter tuning, to model selection. There are open-source tools that do much the same things (like TPOT, a cool module I love the idea of but can never get to actually work on a data set that isn’t trivially small).
Right now, these tools mostly aren’t great and/or are absurdly expensive (for the cost of a subscription to Data Robot, you can employ a full-time data scientist). But I have no doubt that soon tools will exist that will completely take care of the model/hyperparameter/feature-transformation process.
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