mlpack_radical man page

mlpack_radical — radical

Synopsis

 mlpack_radical [-h] [-v]  

Description

An implementation of RADICAL, a method for independentcomponent analysis (ICA). Assuming that we have an input matrix X, thegoal 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 runningparticularly slowly, try reducing the number of replicates.

Required Input Options

--input_file (-i) [string]

Input dataset filename for ICA.

Optional Input Options

--angles (-a) [int]

Number of angles to consider in brute-force search during Radical2D. Default value 150.

--help (-h)

Default help info.

--info [string]

Get help on a specific module or option. Default value ''. --noise_std_dev (-n) [double]  Standard deviation of Gaussian noise. Default value 0.175.

--objective (-O)

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)

Display informational messages and the full list of parameters and timers at the end of execution.

--version (-V)

Display the version of mlpack.

Optional Output Options

--output_ic_file
(-o) [string]  File to save independent components to. Default value ''. --output_unmixing_file (-u) [string]  File to save unmixing matrix to. Default value ’'.

Additional Information

Additional Information

For further information, including relevant papers, citations, and theory, For further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your consult the documentation found at http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK. DISTRIBUTION OF MLPACK.