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authorGertjan van den Burg <gertjanvandenburg@gmail.com>2020-03-06 17:57:38 +0000
committerGertjan van den Burg <gertjanvandenburg@gmail.com>2020-03-06 17:57:38 +0000
commitd94e2f3a6bf87d7d1edc90399103f40c0681cbf3 (patch)
tree2b79830a157e48d6944785dd6abc47c12c437b18
parentDocumentation fixes (diff)
downloadpygensvm-d94e2f3a6bf87d7d1edc90399103f40c0681cbf3.tar.gz
pygensvm-d94e2f3a6bf87d7d1edc90399103f40c0681cbf3.zip
Documentation improvement
-rw-r--r--docs/cls_gensvm.rst14
1 files 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.