Hacker News Reader

I’ve never done it but it should be feasible. An IP packet is 1518x8 == 12144 bits which is not especially big for a one-hot style encoding these days. You would just need to be sure to capture representative traffic e.g. accounting for monthly jobs.

View on HN

In my understanding, ML works by mapping a huge input space to a tiny output space, and most of the input space remains unexplored.

In this case the input space is small and you want a quite dense mapping from input to output. I do not think ML applies.

No, ML works fine with large output spaces too.

The problem is that the solution space grows super exponentially, and if you need to find an exact one, then the number of samples too.

Most IO is larger than one packet.

Reply on news.ycombinator.com