First class Vector/Tensor Datatype
- Dominant language
- Python
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- Avg merge
- 12d 2h
- Merged PRs (30d)
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Description
Hi ! Such a great tool you built !
First of all, I am no data scientist. I am a backend developper and have no clue about what i am doing around data analysis.
I was fiddling to explore ways to extract domain knowledge from images, and I wanted to play with embeddings.
I already have a dataset of embeddings, and found no other way to use that than use 1 column per dimension of my embedding (1408).
This worked well and I did find the answer I was looking for. However, as I tried to see if I could optimize things, I found myself writing lots of python scripts ( I never worked with python until now so lots of dirty code written with copilot ) to do arithmetics over those columns, because the widgets were not designed to apply the same thing to 1408 columns.
I took a look at the codebase, and tried to add support for a vector datatype. I did succeed to make some stuff work, but it was requiring me to add code to every widget, so I know I am working in the wrong direction.
However in half a day of work I did end up with a pretty cool result.

It is buggy as hell, but the concept is here.
I might be completely mistaken about the way I am supposed to use the tool, but if I am not, maybe it will interest someone.
I can free up some time to work on this, but as I said, I never worked in python before although I have been programming in other languages for about 10 years, so I will need some guidance.
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