https://github.com/benchopt/benchmark_csc
Benchmark for Convolutional Sparse Coding
https://github.com/benchopt/benchmark_csc
Last synced: about 1 year ago
JSON representation
Benchmark for Convolutional Sparse Coding
- Host: GitHub
- URL: https://github.com/benchopt/benchmark_csc
- Owner: benchopt
- Created: 2021-03-05T08:42:23.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2023-09-19T00:13:43.000Z (almost 3 years ago)
- Last Synced: 2023-09-19T04:56:34.660Z (almost 3 years ago)
- Language: Python
- Size: 27.3 KB
- Stars: 6
- Watchers: 4
- Forks: 5
- Open Issues: 1
-
Metadata Files:
- Readme: README.rst
Awesome Lists containing this project
README
BenchOpt benchmark for Convolutional Sparse Coding
=====================
|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 solver of convolutional sparse coding:
$$\\min_{\\theta_1, \\ldots, \\theta_K \\in \\mathbb{R}^d} \\frac{1}{2} \\|y - \\sum_{k=1}^K d_k * \\theta_k\\|^2_2 + \\lambda \\sum_{k=1}^K \\|\\theta_k\\|_1$$
where $K$ is the number of atoms in the dictionary, $d_1, \\ldots, d_K \\in \\mathbb{R}^d$ are the atoms in the dictionary and $*$ denotes the convolution.
Install
--------
This benchmark can be run using the following commands:
.. code-block::
pip install -U benchopt
git clone https://github.com/benchopt/benchmark_csc
benchopt run ./benchmark_csc
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_csc -s alphacsc -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_csc/workflows/Tests/badge.svg
:target: https://github.com/benchopt/benchmark_csc/actions
.. |Python 3.6+| image:: https://img.shields.io/badge/python-3.6%2B-blue
:target: https://www.python.org/downloads/release/python-360/