From 55269519b0fdc4c41e2efca53e62d3c040d74dbb Mon Sep 17 00:00:00 2001
From: Olivier Grisel <olivier.grisel@ensta.org>
Date: Tue, 20 Sep 2011 10:32:57 +0300
Subject: [PATCH] Cosmit.
---
doc/whats_new.rst | 10 ++++++----
1 file changed, 6 insertions(+), 4 deletions(-)
diff --git a/doc/whats_new.rst b/doc/whats_new.rst
index 06494da15a..2175462545 100644
--- a/doc/whats_new.rst
+++ b/doc/whats_new.rst
@@ -86,7 +86,8 @@ Changelog
- Faster mean shift by Conrad Lee
- - New `Bootstrap`, `ShuffleSplit` and various other improvements in cross validation schemes by `Olivier Grisel`_ and `Gael Varoquaux`_
+ - New `Bootstrap`, `ShuffleSplit` and various other improvements in cross validation
+ schemes by `Olivier Grisel`_ and `Gael Varoquaux`_
- Adjusted Rand index and V-Measure clustering evaluation metrics by `Olivier Grisel`_
@@ -102,7 +103,8 @@ Changelog
- Scalability improvements to :func:`metrics.metrics.roc_curve` by Olivier Hervieu
- - Distance helper functions :func:`metrics.pairwise.pairwise_distances` and :func:`metrics.pairwise.pairwise_kernels` by Robert Layton
+ - Distance helper functions :func:`metrics.pairwise.pairwise_distances`
+ and :func:`metrics.pairwise.pairwise_kernels` by Robert Layton
API changes summary
@@ -170,8 +172,8 @@ version 0.8:
- All distance metrics and kernels in ``sklearn.metrics.pairwise`` now have a Y
parameter, which by default is None. If not given, the result is the distance
- (or kernel similarity) between each sample in Y. If given, the pairwise
- distance (or kernel similarity) between samples in X to Y are given.
+ (or kernel similarity) between each sample in Y. If given, the result is the
+ pairwise distance (or kernel similarity) between samples in X to Y.
- ``sklearn.metrics.pairwise.l1_distance`` is now called ``manhattan_distance``,
and by default returns the pairwise distance. For the component wise distance,
--
GitLab