mlpack_hmm_viterbi(1)

💖 mlpack_hmm_viterbi — hidden markov model (hmm) viterbi state prediction 💖

okay so bestie, meet mlpack_hmm_viterbi 💅 it's the lil glow-up tool that takes your already-trained HMM and figures out the most likely hidden state sequence hiding behind your observations. it's giving detective energy 🔍✨

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✨ SYNOPSIS ✨

mlpack_hmm_viterbi -i unknown -m unknown [-V bool] [-o unknown] [-h -v]

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🦋 DESCRIPTION 🦋

So here's the tea, fr fr 🍓 — this utility takes an HMM you've already trained, which you hand over with --input_model_file (-m), and then it works out the most probable hidden state sequence for a given sequence of observations (that's your --input_file (-i)). The magic trick it uses? The Viterbi algorithm. no cap. 😌

Once it's done vibing, you can save that computed state sequence with the --output_file (-o) output parameter. ✨

Like, say you wanna predict the state sequence of the observations in obs.csv using the HMM hmm.bin, and dump the predicted states into states.csv. You'd literally just run:

$ mlpack_hmm_viterbi --input_file obs.csv --input_model_file hmm.bin --output_file states.csv

ate. 💅

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🌸 REQUIRED INPUT OPTIONS 🌸

These ones? Mandatory. You cannot skip them, bestie, it's not that kind of party 🙈

• --input_file (-i) [unknown] — the matrix holding all your observations 📊
• --input_model_file (-m) [unknown] — the trained HMM you're gonna use 👑

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🎀 OPTIONAL INPUT OPTIONS 🎀

optional but iconic, yk? 💜

• --help (-h) [bool] — the default help info. your bestie when you're lost 🫶
• --info [string] — prints the help for one specific option. default value is ''.
• --verbose (-v) [bool] — shows informational messages plus the full list of parameters and timers once it's finished running. it's giving receipts 🧾
• --version (-V) [bool] — prints the version of mlpack you've got. lowkey useful 👑
• --output_file (-o) [unknown] — the file you wanna save the predicted state sequence into 💾

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🌈 ADDITIONAL INFORMATION 🌈

Wanna go deeper than the group chat? 👀 For more info — relevant papers, citations, and all the theory — go check the documentation at http://www.mlpack.org or the docs that ship with your distribution of mlpack. iykyk ✨

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made with love by mlpack-4.8.0, dropped on 22 June 2026 💖 that's the whole man page bestie, now go run it and slay 🧚⭐ no cap, periodt. 💅