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Hit the `Use this template` button on the top of `this page \u003chttps://github.com/benchopt/template_benchmark\u003e`_,\n2. Use the form to create a new github repository with your benchmark name,\n3. Clone the newly created repository on your computer,\n4. Run ``python clean_template.py`` script that will remove instruction relative to\n   the template in ``README.rst`` and update it with your repo and org name.\n5. Edit the problem description in the ``README.rst``.\n6. Update ``objective.py`` and the files in ``datasets`` and ``solvers`` to create the benchmark.\n\nMy Benchopt Benchmark\n=====================\n|Build Status| |Python 3.6+|\n\nBenchopt is a package to simplify and make more transparent and\nreproducible the comparisons of optimization algorithms.\nThis benchmark is dedicated to solver of **describe your problem**:\n\n\n$$\\\\min_{w} f(X, w)$$\n\n\nwhere $n$ (or ``n_samples``) stands for the number of samples, $p$ (or ``n_features``) stands for the number of features and\n\n\n$$X \\\\in \\\\mathbb{R}^{n \\\\times p} \\\\ , \\\\quad w \\\\in \\\\mathbb{R}^p$$\n\n\nInstall\n--------\n\nThis benchmark can be run using the following commands:\n\n.. code-block::\n\n   $ pip install -U benchopt\n   $ git clone https://github.com/#ORG/#BENCHMARK_NAME\n   $ benchopt run #BENCHMARK_NAME\n\nApart from the problem, options can be passed to ``benchopt run``, to restrict the benchmarks to some solvers or datasets, e.g.:\n\n.. code-block::\n\n\t$ benchopt run #BENCHMARK_NAME -s solver1 -d dataset2 --max-runs 10 --n-repetitions 10\n\n\nUse ``benchopt run -h`` for more details about these options, or visit https://benchopt.github.io/api.html.\n\n.. |Build Template| image:: https://github.com/benchopt/template_benchmark/workflows/Tests/badge.svg\n   :target: https://github.com/benchopt/template_benchmark/actions\n.. |Build Status| image:: https://github.com/#ORG/#BENCHMARK_NAME/workflows/Tests/badge.svg\n   :target: https://github.com/#ORG/#BENCHMARK_NAME/actions\n.. |Python 3.6+| image:: https://img.shields.io/badge/python-3.6%2B-blue\n   :target: https://www.python.org/downloads/release/python-360/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepcharles%2Fbenchopt_test","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepcharles%2Fbenchopt_test","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepcharles%2Fbenchopt_test/lists"}