Hi thanks a lot. I received positive interactions on github from the community, however, your comment is the first encouraging feedback I ve got here :D so, I appreciate it.

I will take your suggestion into consideration. You are right, there should be more real-world examples that will help users get started and see how this can be useful.

The thing is, I started the project two weeks ago, so it still relatively new. I ve been coding day n night because the idea got me excited. I published the first stable release this week. However, there are new features that will be implemented in the next releases.

If the project is only 2 weeks old, all the more reason to ignore any critics. Particularly here where people are likely to criticize a baby in the crib for not working on coding projects outside of naptime.

Well, I mean that baby doesn't have a functional colon yet so putting semicolons everywhere just makes perfect sense.

I feel like if there is one thing that works on a baby, it is the colon...

What you're doing is creating a declarative syntax for applying machine learning tasks directly to data. This makes it learnable by machines, effectively teaching them how to do their own machine learning experiments. I think this project is greater than the sum of its parts.

In case it isn't on your radar, there is also https://github.com/uber/ludwig which seems to have similar goals.

Someone posted this tool earlier in the comments too. I was surprised since I never heard of it and find it great!

However, I think it is only for building deep learning models and does not have any general ML support or am I missing something? If yes then that fact makes it very different from igel as a tool

Agreed here. I am not involved in the ML space but have briefly toyed with PyTorch/TF/Sklearn.

I see the value in having a CSV data dump and going "I wonder what happens if I run it through X." then a CLI command to find out.

Would be neat if there was an adapter for SQLite too IMO.

Combining it with bash and psql + csvkit + xsv will give you a powerful combination for data ingestion, wrangling and training all on the command line this would seem to have clear benefits for fast development and prototyping.

Hi, can you please explain more, or you can open an issue and explain the expected functionality there

Hi, can you explain how you imagine the functionality with SQLite and why SQLite specifically

Totally agree. I sense ML in general can benefit tremendously from buttery-smooth UX, something it has typically lagged behind on.

Keep it up Nidhal, you’re doing a tremendous service. Don’t let the snobs get to you.

Thank you. I appreciate it

I agree, I think this is great, and something I will try to use shortly.

Thanks. Stay tuned, a lot is coming soon