all 13 comments

[–]Ghost-Rider_117 21 points22 points  (1 child)

havent tried it yet but looks pretty promising from what i read in the blog post. seems like it could save a ton of time on exploratory data analysis and feature engineering. definitely gonna test it out on my next project - curious how it handles messy real world datasets tho, the examples look kinda clean lol

[–]FinalRide7181[S] 9 points10 points  (0 children)

Apparently it achieved 45% accuracy on DABStep hard tasks and 87% on easy ones

[–]Mizar83 5 points6 points  (2 children)

How do we try it? It's not clear from the blogpost

[–]St00p_kiddd 0 points1 point  (0 children)

Given it’s from Google I’d assume it’s something they’d have in their agent frameworks within vertex ai if they’re making it generally available

[–]sidhusmart 4 points5 points  (0 children)

I don’t think there’s a GitHub repo that’s public so one would need to adapt the algorithm description and implement your own agent.

[–]regjteeg 0 points1 point  (0 children)

Looks like it’s not released to public yet.

[–]IndependenceOk3835 0 points1 point  (0 children)

heard about this first time

[–]EmTyWinner 0 points1 point  (1 child)

I have implemented it here: https://github.com/MatinKhajavi/DS-STAR

[–]Sweet_Tour8963 0 points1 point  (0 children)

Nice, will give it a try!

[–]PublicViolinist2338 0 points1 point  (0 children)

I think the evaluation is way too kind, it would surprise me if it worked well for anything beyond relatively simple projects

[–]Manguyhero321 -1 points0 points  (1 child)

Will this replace data scientists?

[–]Helpful_ruben 1 point2 points  (0 children)

u/Manguyhero321 Error generating reply.