Honestly, you limit the number of features to 1000 ??
Professional machine learning models have more than often more than 1000 Features, why the limit?
Cheers Tom
Hi @kuehner_DB,
the key here is "professional machine learning models" - Alteryx isn't a professional ML modelling tool. It's more for business users and semi-advanced ML experts. In most scenarios where you have 1000+ columns, you are using some sort of NLP-techniques that generate huge amounts of columns. Alteryx isn't really for these scenarios.
However, I see three options here:
1) Test the Expert mode:
2) Use a Select Tool and allow only 999 columns - Generate a Model and export it to Python:
After your Python-Export, you can try to add the missing columns.
3) Use the Python-Tool and go directly to a more professional package, such as Keras / PyTorch to handle your request.
Let me know if this helped.
Best
Alex
I am rather a R user instead of Phyton programmer ... but I like to do the data prep in Alteryx and would be happy to do my modelling here as well ....
I can reduce the features by running a simple model in R, analyse the variable importance and feed that back to Alteryx.
But this is an rather cumbersome process ...
I would like to understand the restriction, Alteryx is quite powerfull in handling big data, we limit it?
