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| author | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2018-01-08 20:07:38 +0100 |
|---|---|---|
| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2018-01-08 20:07:38 +0100 |
| commit | 3d1a7658a52a3f04adb9cf9c776ec3dd7bd5ca06 (patch) | |
| tree | c47300f14360c23a0c2741ba3417ac06c8051c76 /gensvm | |
| parent | add documentation for kernels in GenSVM (diff) | |
| download | pygensvm-3d1a7658a52a3f04adb9cf9c776ec3dd7bd5ca06.tar.gz pygensvm-3d1a7658a52a3f04adb9cf9c776ec3dd7bd5ca06.zip | |
update documentation and fix autodocs
Diffstat (limited to 'gensvm')
| -rw-r--r-- | gensvm/core.py | 22 |
1 files changed, 10 insertions, 12 deletions
diff --git a/gensvm/core.py b/gensvm/core.py index 9b7d093..8163c4d 100644 --- a/gensvm/core.py +++ b/gensvm/core.py @@ -88,24 +88,22 @@ class GenSVM(BaseEstimator, ClassifierMixin): gamma : float, optional (default='auto') Kernel parameter for the rbf, poly, and sigmoid kernel. If gamma is - 'auto' then 1/n_features will be used. See `gensvm_kernels`_ for the - exact implementation of the kernels. + 'auto' then 1/n_features will be used. See `Kernels in GenSVM + <gensvm_kernels_>`_ for the exact implementation of the kernels. coef : float, optional (default=0.0) - Kernel parameter for the poly and sigmoid kernel. See `gensvm_kernels`_ - for the exact implementation of the kernels. - + Kernel parameter for the poly and sigmoid kernel. See `Kernels in + GenSVM <gensvm_kernels_>`_ for the exact implementation of the kernels. degree : float, optional (default=2.0) - Kernel parameter for the poly kernel. See `gensvm_kernels`_ for the - exact implementation of the kernels. - + Kernel parameter for the poly kernel. See `Kernels in GenSVM + <gensvm_kernels_>`_ for the exact implementation of the kernels. kernel_eigen_cutoff : float, optional (default=1e-8) - Cutoff point for the reduced eigendecomposition used with - kernel-GenSVM. Eigenvectors for which the ratio between their - corresponding eigenvalue and the largest eigenvalue is smaller than the - cutoff will be dropped. + Cutoff point for the reduced eigendecomposition used with nonlinear + GenSVM. Eigenvectors for which the ratio between their corresponding + eigenvalue and the largest eigenvalue is smaller than the cutoff will + be dropped. verbose : int, (default=0) Enable verbose output |