What is the best way to contribute to the fast.ai library? When I was reading the fast.ai developer docs, I found the whole process a little overwhelming. I am wondering if anyone has any best practices other than using hub as Jeremy described above.
That being said I was working on lesson one v3 and I was thinking a small semantic change in the description of plot_top_losses could make it easier for novices to understand plot if the description was more closely aligned with the output.
Current description:
“Show images in
top_lossesalong with their loss, label, and prediction.”
Proposed description:
“Show images in
top_lossesalong with their prediction, actual, loss, and probability of actual class.”
In general, what type of PR’s does the industry find most beneficial? Would you recommend this type of semantics push request? Since they could come across critical, opposed to helpful.