Semantic Code Classification for Automated Machine Learning. (arXiv:2201.11252v1 [cs.LG])

A range of applications for automatic machine learning need the generation
process to be controllable. In this work, we propose a way to control the
output via a sequence of simple actions, that are called semantic code classes.
Finally, we present a semantic code classification task and discuss methods for
solving this problem on the Natural Language to Machine Learning (NL2ML)
dataset.

arxiv automated machine learning classification code learning machine machine learning semantic