I am unable to predict on the whole test set within a reasonable amount of time on Kaggle.
The project I am currently working is the PUBG dataset on Kaggle. My goal is to just train for a single cycle, put the outputs in a csv and commit the output to the competition. Whenever I try to create a submission CSV, it will run for a few hours and then the kernel will crash. This is not entirely unreasonable to me since there are 1.9 million matches to predict and the Kaggle kernel does not seem very fast. However, using that Kernel is the only way to submit. Is there something that I should be doing differently in order to get my predictions in a reasonable amount of time (less than 3-4 hours)?
Additionally, I am only training using part of the data since otherwise I run out of RAM.
I realize this might be a question for Kaggle, let me know if I need to move it to the forum there.