Man page - mlpack_radical(1)
Packages contas this manual
- mlpack_lsh(1)
- mlpack_krann(1)
- mlpack_softmax_regression(1)
- mlpack_radical(1)
- mlpack_adaboost(1)
- mlpack_hmm_generate(1)
- mlpack_emst(1)
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- mlpack_gmm_generate(1)
- mlpack_mean_shift(1)
- mlpack_hoeffding_tree(1)
- mlpack_linear_svm(1)
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- mlpack_gmm_train(1)
- mlpack_lmnn(1)
- mlpack_nca(1)
- mlpack_pca(1)
- mlpack_det(1)
- mlpack_preprocess_describe(1)
- mlpack_kernel_pca(1)
- mlpack_range_search(1)
- mlpack_fastmks(1)
- mlpack_approx_kfn(1)
- mlpack_hmm_loglik(1)
- mlpack_sparse_coding(1)
- mlpack_kde(1)
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- mlpack_gmm_probability(1)
- mlpack_kmeans(1)
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- mlpack_bayesian_linear_regression(1)
- mlpack_kfn(1)
- mlpack_hmm_viterbi(1)
- mlpack_preprocess_split(1)
- mlpack_preprocess_one_hot_encoding(1)
- mlpack_perceptron(1)
- mlpack_linear_regression(1)
- mlpack_nbc(1)
- mlpack_preprocess_scale(1)
apt-get install mlpack-bin
Manual
| mlpack_radical(1) | User Commands | mlpack_radical(1) |
NAME
mlpack_radical - radical
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]
DESCRIPTION
An implementation of RADICAL, a method for independent component analysis (ICA). Assuming that we have an input matrix X, the goal is to find a square unmixing matrix W such that Y = W * X and the dimensions of Y are independent components. If the algorithm is running particularly slowly, try reducing the number of replicates.
The input matrix to perform ICA on should be specified with the '--input_file (-i)' parameter. The output matrix Y may be saved with the '--output_ic_file (-o)' output parameter, and the output unmixing matrix W may be saved with the ’--output_unmixing_file (-u)' output parameter.
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
REQUIRED INPUT OPTIONS
- --input_file (-i) [unknown]
- Input dataset for ICA.
OPTIONAL INPUT OPTIONS
- --angles (-a) [int]
- Number of angles to consider in brute-force search during Radical2D. Default value 150.
- --help (-h) [bool]
- Default help info.
- --info [string]
- Print help on a specific option. Default value ''.
- --noise_std_dev (-n) [double]
- Standard deviation of Gaussian noise. Default value 0.175.
- --objective (-O) [bool]
- If set, an estimate of the final objective function is printed.
- --replicates (-r) [int]
- Number of Gaussian-perturbed replicates to use (per point) in Radical2D. Default value 30.
- --seed (-s) [int]
- Random seed. If 0, 'std::time(NULL)' is used. Default value 0.
- --sweeps (-S) [int]
- Number of sweeps; each sweep calls Radical2D once for each pair of dimensions. Default value 0.
- --verbose (-v) [bool]
- Display informational messages and the full list of parameters and timers at the end of execution.
- --version (-V) [bool]
- Display the version of mlpack.
OPTIONAL OUTPUT OPTIONS
- --output_ic_file (-o) [unknown]
- Matrix to save independent components to.
- --output_unmixing_file (-u) [unknown]
- Matrix to save unmixing matrix to.
ADDITIONAL INFORMATION
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.
| 06 April 2025 | mlpack-4.6.0 |