by N. S.
Last Updated January 14, 2018 08:19 AM

I have a dataset of internet network traffic. There are multiple flows in the dataset that represents a sequence of observation. Any observation includes multiple packets which each packet has 2 features and a label. I want to model the traffic with hidden markov model.

I have read many functions of `hmmlearn`

library, such as `GaussianHMM`

, `fit`

.
I think I have to use these two functions in order to generate an hmm model, but I am so confused about the **input parameters** of these two functions. In fact I don't see any details about how to reshape the dataset for generatin an hmm model.

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