hsmmlearn
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fitting model to high dimensional data
Could you please give a hint, how I can fit model parameters using high dimensional data. For example if I have Data(n*p) n-> number of observation and p -> dimension of observation.
Here is a fork by @dpaysan, which works for the multivariate Gaussian model.