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[D] I’ve compared Google Cloud AutoML Tables with my AutoML python package

Google has released AutoML service for structured datasets (AutoML Tables, currently in Beta). I’ve compared my open-source AutoML python package mljar-supervised with Google AutoML Tables on 6 datasets from openml.org. The results of Google AutoML Tables are poor (I was using 1-hour training). I think that the reason for poor results is a short training time. I think that the 1-hour of training on 92 machines in parallel is not enough for Google optimization algorithm. I believe they are using some Neural Architecture Search algorithm which is not very efficient. Maybe training for a longer time will give better results but the cost of 1-hour training is ~20USD so it can easily skyrocket.

Here is a link for comparison and review https://mljar.com/blog/mljar-vs-google-cloud-automl-tables/

submitted by /u/pp314159
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.