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Hidden Markov Models for Julia.

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Hi Max! I saw on the README that your package is looking for a new maintainer, and I feel like I have the ideal background to take care of it....

Some applications require HMMs where the transition matrices and/or the output distributions vary with time. Since these are simple modifications I created an experimental fork with support for these -...

Hi, do you have an example for a multivariate features Gaussian Mixture Model HMM, similar to GMMHMM from the hmmlearn Python package? Extending the docs with such an example would...

In the HMM structure, I think it is best practice to have `B::Vector{

I'm coming in relatively fresh to HMMs and I'm having trouble matching up terms I'm seeing in other work. 1) "Emission matrix" doesn't appear in the documentation - I gather...

Hi, First of all, thank you for this nice package. I would like to use this package in a research project but I can not recover the original parameters when...

I was wondering if it was intentional to have the kmeans initialization use fit_mle instead of an estimator a user may pass as an argument? Thanks!

## Specialized transition matrix types - Classical, dense, transition matrix (`Array{Float64,2}`) - Left-right - Sparse Implementations of forward/backward/MLE dependent on the transition matrix type. ## Higher-order models As per https://discourse.julialang.org/t/ann-hmmbase-jl-a-lightweight-and-efficient-hidden-markov-model-abstraction/21604/2:...

enhancement

I'm trying to fit a HMM to my data and I've reduce the problem to a MWE, I'll update if I can reduce it further. ```julia using HMMBase #v1.0.6 using...

Hi! I'm planning to use ```HMMBase.jl``` for biological usage. Specifically, I want to estimate a parameters (e.g. speed) of an object which has multiple states. My data have multiple coordinate...

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