[pk78]

Aren't there many similar tools out there? like IBM cloud, Google's AutoML etc., Why did you decide to create something like this? I'm interested in hearing your opinions on what additional/new values does your service provide over the existing similar SaaS tools.

[pplonski86]

I've built mljar for myself. When I was starting working on it (2016) there were no such solutions or they were very expensive (over 50k/year).

I want to have a service where I can train many models and be able to check every model (for example check learning curves). I want a solution that can train many models in parallel in the cloud, so I don't need to heat my laptop and dont need to wait a lot. I think I achieved this. Is it better than other solutions? Hmmm, it is very similar to others (at the end, they all train some ML models), but ...

After creating the AutoML solution I come to the conclusion that AutoML is broken: https://pplonski.github.io/automatic-machine-learning-is-bro... - even if you can easily train ML model (good or bad - doesn't matter), there is still hard to use/apply machine learning in real life.

Right now, I think that AutoML is just a brick in the solution that should offer automatization. There should be a service similar to Zappier but with machine learning - you can join your data and services with ML models which live in your data ecosystem and use ML for automatization.

[pk78]

I did not realize you started working on this from 2016. I guess you could have easily commercialized this then since were way ahead of the competition. But I do understand that it's hard to offer this as stand-alone service. Anyways, good luck with your project!