https://github.com/benchopt/benchmark_linear_svm_binary_classif_no_intercept
Benchopt Benchmark for SVM for binary classification
https://github.com/benchopt/benchmark_linear_svm_binary_classif_no_intercept
Last synced: about 1 year ago
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Benchopt Benchmark for SVM for binary classification
- Host: GitHub
- URL: https://github.com/benchopt/benchmark_linear_svm_binary_classif_no_intercept
- Owner: benchopt
- Created: 2021-01-20T09:57:20.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2023-07-05T08:46:27.000Z (almost 3 years ago)
- Last Synced: 2025-05-08T22:06:34.186Z (about 1 year ago)
- Language: Python
- Size: 16.6 KB
- Stars: 1
- Watchers: 3
- Forks: 5
- Open Issues: 3
-
Metadata Files:
- Readme: README.rst
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README
Benchmark repository for linear SVM for binary classification
=============================================================
|Build Status| |Python 3.6+|
Benchopt is a package to simplify and make more transparent and
reproducible the comparisons of optimization algorithms.
The linear SVM consists in solving the following program:
.. math::
\min_w C \sum_{i=1}^{n} max(1 - y_i x_i^\top w, 0) + \frac{1}{2} \sum_{j=1}^p w_j^2
where n (or n_samples) stands for the number of samples, p (or n_features) stands for the number of features and
.. math::
y \in \mathbb{R}^n, X = [x_1^\top, \dots, x_n^\top]^\top \in \mathbb{R}^{n \times p}
Install
--------
This benchmark can be run using the following commands:
.. code-block::
$ pip install -U benchopt
$ git clone https://github.com/benchopt/benchmark_linear_svm_binary_classif_no_intercept
$ benchopt run ./benchmark_linear_svm_binary_classif_no_intercept
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_svm_binary_classif_no_intercept -s sklearn -d simulated --max-runs 10 --n-repetitions 10
Use `benchopt run -h` for more details about these options, or visit https://benchopt.github.io/cli.html.
.. |Build Status| image:: https://github.com/benchopt/benchmark_linear_svm_binary_classif_no_intercept/workflows/Tests/badge.svg
:target: https://github.com/benchopt/benchmark_linear_svm_binary_classif_no_intercept/actions
.. |Python 3.6+| image:: https://img.shields.io/badge/python-3.6%2B-blue
:target: https://www.python.org/downloads/release/python-360/