From 3d1a7658a52a3f04adb9cf9c776ec3dd7bd5ca06 Mon Sep 17 00:00:00 2001 From: Gertjan van den Burg Date: Mon, 8 Jan 2018 20:07:38 +0100 Subject: update documentation and fix autodocs --- gensvm/core.py | 22 ++++++++++------------ 1 file changed, 10 insertions(+), 12 deletions(-) (limited to 'gensvm') 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 + `_ 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 `_ 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 + `_ 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 -- cgit v1.2.3