From e5fb9e9a448f6e6a63d710d0cea047d43fda552f Mon Sep 17 00:00:00 2001
From: Andreas Mueller <amueller@ais.uni-bonn.de>
Date: Wed, 28 Dec 2011 00:03:12 +0100
Subject: [PATCH] FIX whitespace where rst demands it...
---
doc/developers/index.rst | 1 +
sklearn/manifold/locally_linear.py | 5 ++++-
2 files changed, 5 insertions(+), 1 deletion(-)
diff --git a/doc/developers/index.rst b/doc/developers/index.rst
index 9aaa75ff8c..f741e4e7db 100644
--- a/doc/developers/index.rst
+++ b/doc/developers/index.rst
@@ -232,6 +232,7 @@ articles, link to us from your website, or simply by saying "I use
it":
.. raw:: html
+
<script type="text/javascript" src="http://www.ohloh.net/p/480792/widgets/project_users.js?style=rainbow"></script>
diff --git a/sklearn/manifold/locally_linear.py b/sklearn/manifold/locally_linear.py
index 8ba68d9876..d5b1bfabdd 100644
--- a/sklearn/manifold/locally_linear.py
+++ b/sklearn/manifold/locally_linear.py
@@ -191,12 +191,13 @@ def locally_linear_embedding(
regularization constant, multiplies the trace of the local covariance
matrix of the distances.
-
eigen_solver : string, {'auto', 'arpack', 'dense'}
auto : algorithm will attempt to choose the best method for input data
+
arpack : use arnoldi iteration in shift-invert mode.
For this method, M may be a dense matrix, sparse matrix,
or general linear operator.
+
dense : use standard dense matrix operations for the eigenvalue
decomposition. For this method, M must be an array
or matrix type. This method should be avoided for
@@ -496,9 +497,11 @@ class LocallyLinearEmbedding(BaseEstimator):
eigen_solver : string, {'auto', 'arpack', 'dense'}
auto : algorithm will attempt to choose the best method for input data
+
arpack : use arnoldi iteration in shift-invert mode.
For this method, M may be a dense matrix, sparse matrix,
or general linear operator.
+
dense : use standard dense matrix operations for the eigenvalue
decomposition. For this method, M must be an array
or matrix type. This method should be avoided for
--
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