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| author | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2017-12-13 15:14:32 -0500 |
|---|---|---|
| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2017-12-13 15:14:32 -0500 |
| commit | 0759a6354b7bd8caf79b7c22ed2361ab36f5c4e8 (patch) | |
| tree | bf168c0f8c03b878b408b881bf14897f300c270f | |
| parent | initialize model size parameters to zero (diff) | |
| download | gensvm-0759a6354b7bd8caf79b7c22ed2361ab36f5c4e8.tar.gz gensvm-0759a6354b7bd8caf79b7c22ed2361ab36f5c4e8.zip | |
add links to python package in readme
| -rw-r--r-- | README.md | 17 |
1 files changed, 9 insertions, 8 deletions
@@ -12,10 +12,11 @@ GitHub: Introduction ------------ -This is the C library for the GenSVM method. GenSVM is a general multiclass +This is the C library for the GenSVM method, for the Python package click +[here](https://github.com/GjjvdBurg/PyGenSVM). GenSVM is a general multiclass support vector machine, which you can use for classification problems with multiple classes. Training GenSVM in cross-validation or grid search setups -can be done efficiently due to the ability to use warm starts. See the +can be done efficiently due to the ability to use warm starts. See the [paper](http://jmlr.org/papers/v17/14-526.html) for more information, and Usage below for how to use GenSVM. @@ -31,11 +32,11 @@ also many unit tests, which you can use to further understand how the library works. For the latest version of the library you can view the [test coverage report](https://gjjvdburg.github.io/GenSVM/cover) online. -This is the C library for GenSVM which contains two executables for using the -method. Python and R packages for GenSVM are planned. If you are interested in -these, please express your interest for the Python package -[here](https://github.com/GjjvdBurg/GenSVM/issues/1) and for the R package -[here](https://github.com/GjjvdBurg/GenSVM/issues/2). +This is the C library for GenSVM that contains two executables for using the +method. A Python package for GenSVM is available +[here](https://github.com/GjjvdBurg/PyGenSVM). An R package for GenSVM is +planned. If you are interested in this, please express your interest for the +R package [here](https://github.com/GjjvdBurg/GenSVM/issues/2). Usage ----- @@ -110,7 +111,7 @@ Reference If you use GenSVM in any of your projects, please cite the GenSVM paper available at -[http://jmlr.org/papers/v17/14-526.html](http://jmlr.org/papers/v17/14-526.html). +[http://jmlr.org/papers/v17/14-526.html](http://jmlr.org/papers/v17/14-526.html). You can use the following BibTeX code: @article{JMLR:v17:14-526, |