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| author | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2017-12-13 14:36:16 -0500 |
|---|---|---|
| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2017-12-13 14:36:16 -0500 |
| commit | 1be8420e868aa898da512aead3160d48867b07ed (patch) | |
| tree | 79a0d90d79756d18a293e9f1c33fd56786de6724 /docs/cls_gensvm.rst | |
| parent | amend last commit (diff) | |
| download | pygensvm-1be8420e868aa898da512aead3160d48867b07ed.tar.gz pygensvm-1be8420e868aa898da512aead3160d48867b07ed.zip | |
various documentation updates
Diffstat (limited to 'docs/cls_gensvm.rst')
| -rw-r--r-- | docs/cls_gensvm.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/cls_gensvm.rst b/docs/cls_gensvm.rst index 082df8f..4e67631 100644 --- a/docs/cls_gensvm.rst +++ b/docs/cls_gensvm.rst @@ -10,7 +10,7 @@ errors. It is this flexibility that makes it perform well on diverse datasets. - The :func:`.~GenSVM.fit` and :func:`~GenSVM.predict` methods of this class + The :func:`~GenSVM.fit` and :func:`~GenSVM.predict` methods of this class use the GenSVM C library for the actual computations. :param p: Parameter for the L_p norm of the loss function (1.0 <= p <= 2.0) |