mlpack_gmm_probability(1)

πŸ’– mlpack_gmm_probability(1) β€” the gmm probability calculator πŸ’–

okay bestie, welcome to the User Commands section, because this little icon is a command-line program and it's here to do exactly one gorgeous thing: tell you how likely your points are to have come from a GMM. no cap. πŸ¦‹


✨ NAME ✨

mlpack_gmm_probability β€” gmm probability calculator πŸ’…


🌸 SYNOPSIS 🌸

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

that's it, that's the whole vibe. two required things, a couple optional ones, slay. ✨


πŸ’œ DESCRIPTION πŸ’œ

okay so here's the tea β˜• β€” this program calculates the probability that given points came from a given GMM (that is, P(X | gmm)). literally the math, she's serving. 🧚

  • the GMM gets specified with the --input_model_file (-m) parameter
  • the points get specified with the --input_file (-i) parameter
  • and the output probabilities may be saved via the --output_file (-o) output parameter πŸŽ€

so, for example, to calculate the probabilities of each point in points.csv coming from the pre-trained GMM gmm.bin, while storing those probabilities in probs.csv, the following command could be used:

$ mlpack_gmm_probability --input_model_file gmm.bin --input_file points.csv --output_file probs.csv

not me writing one line of shell and getting a whole csv of probabilities out 😭 it's giving main character energy fr fr πŸ’–


πŸ”₯ REQUIRED INPUT OPTIONS πŸ”₯

these two? non-negotiable. you cannot skip them, bestie, the program will simply not vibe. πŸ‘‘

  • --input_file (-i) [unknown] β€” input matrix to calculate probabilities of. this is your points, your data, your moment ✨
  • --input_model_file (-m) [unknown] β€” input GMM to use as model. the trained one, the icon, the blueprint πŸ’…

🌈 OPTIONAL INPUT OPTIONS 🌈

these are the little extras you can sprinkle on top like glitter πŸŽ€

  • --help (-h) [bool] β€” default help info. she's there when you're lost, always 🫢
  • --info [string] β€” print help on a specific option. default value ''. so like, you can ask for the lore on one specific flag πŸ‘‘
  • --verbose (-v) [bool] β€” display informational messages and the full list of parameters and timers at the end of execution. timers?? yes bestie, you get the gossip AND the receipts 😭πŸ”₯
  • --version (-V) [bool] β€” display the version of mlpack. because knowing which era of mlpack you're in is highkey important ⭐

πŸ’– OPTIONAL OUTPUT OPTIONS πŸ’–

  • --output_file (-o) [unknown] β€” matrix to store calculated probabilities in. where your hard-won probabilities go to live their best life πŸ¦‹

πŸŽ€ ADDITIONAL INFORMATION πŸŽ€

for further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your distribution of mlpack. like, the deep lore is right there, go read it, i believe in you πŸ’œ


and that's the whole page, periodt πŸ’… this was mlpack-4.8.0, dated 22 June 2026 β€” mlpack_gmm_probability(1), signing off. go calculate some probabilities, bestie, you're gonna ate πŸ“βœ¨πŸ«Ά

πŸ“¦ where this page comes from