5 ms·
Terrific! Keep pursuing this and ignore critics. What you're doing is important b/c ML is just out of reach of a big percentage of developers and technical lay
by howmayiannoyyou 6y ago
Terrific!
Keep pursuing this and ignore critics. What you're doing is important b/c ML is just out of reach of a big percentage of developers and technical lay people. It will take time to get your approach right, but it will make a difference.
As a suggestion - provide more real-world examples (eg. business, sports, etc) so that users can tinker with your samples as pathway toward learning.
Please don't give up on this. Great job.
- nidhaloff 6y agoHi 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.
- musingsole 6y agoIf 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.
- reagent_finder 6y agoWell, I mean that baby doesn't have a functional colon yet so putting semicolons everywhere just makes perfect sense.
- toxik 6y agoI feel like if there is one thing that works on a baby, it is the colon...
- nurettin 6y agoWhat 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.
- khimaros 6y agoIn case it isn't on your radar, there is also https://github.com/uber/ludwig https://github.com/uber/ludwig which seems to have similar goals.
- nidhaloff 6y agoSomeone 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
- gavinray 6y agoAgreed 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.
- rmbeard 6y agoCombining 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.
- nidhaloff 6y agoHi, can you please explain more, or you can open an issue and explain the expected functionality there
- nidhaloff 6y agoHi, can you explain how you imagine the functionality with SQLite and why SQLite specifically
- crehn 6y agoTotally 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.
- nidhaloff 6y agoThank you. I appreciate it
- ApolloRising 6y agoI agree, I think this is great, and something I will try to use shortly.
- nidhaloff 6y agoThanks. Stay tuned, a lot is coming soon