https://github.com/benchopt/benchmark_linear_ica
Benchopt benchmark for linear ICA
https://github.com/benchopt/benchmark_linear_ica
Last synced: 4 months ago
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Benchopt benchmark for linear ICA
- Host: GitHub
- URL: https://github.com/benchopt/benchmark_linear_ica
- Owner: benchopt
- Created: 2021-05-30T14:35:37.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-11-28T12:22:05.000Z (7 months ago)
- Last Synced: 2025-11-30T19:27:55.945Z (7 months ago)
- Language: Python
- Size: 16.6 KB
- Stars: 0
- Watchers: 2
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
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README
Benchopt Benchmark for Linear ICA
=================================
|Build Status| |Python 3.6+|
Benchopt is a package to simplify and make more transparent and
reproducible the comparisons of optimization algorithms.
This benchmark is dedicated to Independent Component Analysis (ICA):
$$X = A S$$
where
$$X \\in \\mathbb{R}^{p \\times n}, A \\in \\mathbb{R}^{p \\times p} \\text{ and } S \\in \\mathbb{R}^{p \\times n}$$
such that $n$ (or ``n_samples``) stands for the number of samples, $p$ (or ``n_features``) stands for the number of features.
The purpose of linear ICA is to recover the mixing matrix $A$ from $X$.
where X is n_features x n_samples, A is n_features x n_features and S
is n_features x n_samples. The purpose of ICA is to recover the
mixing matrix A from X.
Install
--------
This benchmark can be run using the following commands:
.. code-block::
$ pip install -U benchopt
$ git clone https://github.com/benchopt/benchmark_linear_ica
$ benchopt run benchmark_linear_ica
Apart from the problem, options can be passed to ``benchopt run``, to restrict the benchmarks to some solvers or datasets, e.g.:
.. code-block::
$ benchopt run benchmark_linear_ica -s fastica -d simulated --max-runs 10 --n-repetitions 10
Use ``benchopt run -h`` for more details about these options, or visit https://benchopt.github.io/api.html.
.. |Build Status| image:: https://github.com/benchopt/benchmark_linear_ica/workflows/Tests/badge.svg
:target: https://github.com/benchopt/benchmark_linear_ica/actions
.. |Python 3.6+| image:: https://img.shields.io/badge/python-3.6%2B-blue
:target: https://www.python.org/downloads/release/python-360/