mlpack_radical(1)

πŸ’– mlpack_radical(1) πŸ’–

okay so bestie, let me put you on to mlpack_radical β€” it's a User Command from the mlpack family, and it's literally the moment for independent component analysis. main character energy fr.


✨ SYNOPSIS ✨

mlpack_radical -i unknown [-a int] [-n double] [-O bool] [-r int] [-s int] [-S int] [-V bool] [-o unknown] [-u unknown] [-h -v]

πŸ¦‹ DESCRIPTION πŸ¦‹

So this is an implementation of RADICAL, which is a method for independent component analysis (ICA). no cap. Here's the whole vibe: say we have an input matrix X β€” the goal is to find a square unmixing matrix W such that Y = W * X, and the dimensions of Y are independent components. that's the dream, that's the assignment.

Lowkey important heads-up: if the algorithm is running particularly slowly, try reducing the number of replicates. that's the move. πŸ’βž‘οΈπŸ‡

The input matrix you're doing ICA on gets specified with the --input_file (-i) parameter. The output matrix Y can be saved with the --output_ic_file (-o) output parameter, and the output unmixing matrix W can be saved with the --output_unmixing_file (-u) output parameter. slay, everything has a home.

For example, to perform ICA on the matrix X.csv with 40 replicates, saving the independent components to ic.csv, the following command may be used:

$ mlpack_radical --input_file X.csv --replicates 40 --output_ic_file ic.csv

periodt. that's the whole thing. πŸ’…


πŸ‘‘ REQUIRED INPUT OPTIONS πŸ‘‘

These ones are not optional bestie, you literally need them.

  • --input_file (-i) [unknown] β€” Input dataset for ICA. that's the one. the whole meal depends on it.

🌸 OPTIONAL INPUT OPTIONS 🌸

the fun customization zone, we love her:

  • --angles (-a) [int] β€” Number of angles to consider in brute-force search during Radical2D. Default value is 150. she's thorough.
  • --help (-h) [bool] β€” Default help info. your classic rescue button. 🫢
  • --info [string] β€” Print help on a specific option. Default value is ''.
  • --noise_std_dev (-n) [double] β€” Standard deviation of Gaussian noise. Default value is 0.175. a lil noise, as a treat.
  • --objective (-O) [bool] β€” If set, an estimate of the final objective function is printed. receipts, basically. 🧾
  • --replicates (-r) [int] β€” Number of Gaussian-perturbed replicates to use (per point) in Radical2D. Default value is 30.
  • --seed (-s) [int] β€” Random seed. If 0, 'std::time(NULL)' is used. Default value is 0. so if you want reproducibility that's your girly, otherwise she just vibes with the clock.
  • --sweeps (-S) [int] β€” Number of sweeps; each sweep calls Radical2D once for each pair of dimensions. Default value is 0.
  • --verbose (-v) [bool] β€” Display informational messages and the full list of parameters and timers at the end of execution. the yapper mode, i respect it. πŸ—£οΈ
  • --version (-V) [bool] β€” Display the version of mlpack.

πŸŽ€ OPTIONAL OUTPUT OPTIONS πŸŽ€

where your results go to shine:

  • --output_ic_file (-o) [unknown] β€” Matrix to save independent components to.
  • --output_unmixing_file (-u) [unknown] β€” Matrix to save unmixing matrix to.

🌈 ADDITIONAL INFORMATION 🌈

For further information β€” and bestie, that includes relevant papers, citations, and theory β€” consult the documentation found at http://www.mlpack.org or included with your distribution of mlpack. iykyk, go read, it's giving academic. πŸ“š


πŸ’€ reminder: if it's crawling, reduce the replicates. don't just sit there suffering, okay?

that's the page, bestie. go unmix some components, you absolute icon. πŸ’œβœ¨

sign-off: this was mlpack-4.8.0, dated 22 June 2026 β€” mwah, love u, bye! πŸŽ€πŸ¦‹πŸ’–

πŸ“¦ where this page comes from