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I have a simple dataset that contains some columns and I need to predict using simple markov model in python. I cannot see any support under sklearn library. My dataset columns are : "url", "ip", "browser", "request".

I have loaded the dataset into python pandas.

I need to train and predict the "url" state on the basis of "ip", "browser" and "request". How to create a simple markov model and train it and predict a state('url') on the basis of provided independent variables.

Please make the python code explanation simple.

Shubhendra Kumar
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1 Answers1

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if u mean simple markov model from this, then there lot of simple markov models to choose from markov chain, hidden markov model, semi markov model and so on, because all this model is time homogeneous. I think u should determine which facts/outcome is random, is it cont. or discrete ? is there any latent/hidden variable ? That u should be able to fix best choice for your model

Tala Warang
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