[jclos]

It reminds me of the old Eureqa software [1], which I used almost 10 years ago in some research work. It got bought out by a company and kind of shut down, so it's nice to see alternatives. Since then some good packages like gplearn have emerged [2], what are you offering that it cannot do?

As a side note if I were you I would be a lot more selective about what you put in your blog, because your post on the inadequacy of neural networks is a bit embarrassing, and paints a pretty bad picture of your own tool.

[1] https://www.creativemachineslab.com/eureqa.html

[2] https://gplearn.readthedocs.io/en/stable/

[tbsoftware]

Thanks for the comments. I have actually tried many different public symbolic regression packages before developing TuringBot, and the general conclusion is that while they do find some formulas, those formulas are rather awkward and not really comparable to those found by Eureqa. And TuringBot is both faster than Eureqa and also capable of finding solutions that it cannot find, due to the different algorithm used.

Can you elaborate on why the post on neural networks is "embarrassing"? That neural networks perform poorly on simple problems despite being universal approximators is a well known fact, see for instance (and many others) https://stackoverflow.com/questions/46995209/neural-network-...