mlpack_hmm_generate(1)

💖 mlpack_hmm_generate — hidden markov model (hmm) sequence generator 💖

okay bestie, welcome to mlpack_hmm_generate(1), which is genuinely one of the slayest little utilities in the whole mlpack manual. it's giving "i trained a model and now i want it to ✨dream✨". let's get into it 🦋

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✨ SYNOPSIS ✨

mlpack_hmm_generate -l int -m unknown [-s int] [-t int] [-V bool] [-o unknown] [-S unknown] [-h -v]

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🌸 DESCRIPTION 🌸

so here's the vibe. this utility takes an already-trained HMM — you gotta hand it over with the --model_file (-m) parameter, no cap — and it generates a random observation sequence and a hidden state sequence based on that model's parameters. it's lowkey just letting your model improvise. 🎀

the observation sequence? save it with the --output_file (-o) output parameter. the internal state sequence? that one goes to --state_file (-S). two outputs, both optional, both iconic. 💅

and if you wanna control where the sequence starts, that's the --start_state (-t) parameter's whole job.

okay for example, say you wanna generate a sequence of length 150 from the HMM hmm.bin, save the observation sequence to observations.csv and the hidden state sequence to states.csv — literally just do this:

$ mlpack_hmm_generate --model_file hmm.bin --length 150 --output_file observations.csv --state_file states.csv

ate. that's it. that's the whole recipe. 🔥

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👑 REQUIRED INPUT OPTIONS 👑

these ones are not optional, bestie. you skip these and we're not doing anything. periodt.

• --length (-l) [int] — the length of the sequence you want to generate.
• --model_file (-m) [unknown] — the trained HMM you're generating sequences with. this is the whole source of truth, so bring a real one. 💜

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🌈 OPTIONAL INPUT OPTIONS 🌈

the little extras. take them or leave them, no pressure. 🫶

• --help (-h) [bool] — default help info. classic.
• --info [string] — print help on a specific option. default value ''.
• --seed (-s) [int] — random seed. if it's 0, then std::time(NULL) is used. default value 0. (yes, that means by default you're getting the current time as your seed. chaos but make it deterministic-ish. ⭐)
• --start_state (-t) [int] — the starting state of the sequence. default value 0.
• --verbose (-v) [bool] — display informational messages and the full list of parameters and timers at the end of execution. it's giving "tell me everything". main character energy fr fr. 😭
• --version (-V) [bool] — display the version of mlpack.

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🎀 OPTIONAL OUTPUT OPTIONS 🎀

where your results actually go. both optional, both very much worth using. ✨

• --output_file (-o) [unknown] — matrix to save the observation sequence to.
• --state_file (-S) [unknown] — matrix to save the hidden state sequence to.

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🧚 ADDITIONAL INFORMATION 🧚

for further information — and yes that includes the relevant papers, citations, and theory, the whole academic buffet — consult the documentation found at http://www.mlpack.org or the docs included with your distribution of mlpack. iykyk 💖

pro tip from your girl: --help and --info exist, so use them if you forget a flag. they're right there. use them. 🙈

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and that's the page, bestie! this was mlpack_hmm_generate(1), brought to you by mlpack-4.8.0, dated 22 June 2026. go generate something gorgeous. 💅🌸💜