From d94e2f3a6bf87d7d1edc90399103f40c0681cbf3 Mon Sep 17 00:00:00 2001 From: Gertjan van den Burg Date: Fri, 6 Mar 2020 17:57:38 +0000 Subject: Documentation improvement --- docs/cls_gensvm.rst | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/cls_gensvm.rst b/docs/cls_gensvm.rst index 643af4e..c43bd90 100644 --- a/docs/cls_gensvm.rst +++ b/docs/cls_gensvm.rst @@ -111,13 +111,13 @@ GenSVM <.GenSVM.combined_coef_>` attribute of a different GenSVM model. This is only supported for the linear kernel. - NOTE: the size of the seed_V matrix is `n_features+1` by `n_classes - - 1`. The number of columns of `seed_V` is leading for the number - of classes in the model. For example, if `y` contains 3 different - classes and `seed_V` has 3 columns, we assume that there are - actually 4 classes in the problem but one class is just - represented in this training data. This can be useful for - problems were a certain class has only a few samples. + NOTE: the size of the seed_V matrix is `n_features+1` by `n_classes - 1`. + The number of columns of `seed_V` is leading for the number of + classes in the model. For example, if `y` contains 3 different + classes and `seed_V` has 3 columns, we assume that there are + actually 4 classes in the problem but one class is just represented + in this training data. This can be useful for problems were a + certain class has only a few samples. :type seed_V: array, shape = (n_features+1, n_classes-1), optional :returns: **self** -- Returns self. -- cgit v1.2.3