From 19f738fe70325ed48e8fdbe6a673cc4727b6bceb Mon Sep 17 00:00:00 2001 From: Neurrone Date: Sat, 18 Feb 2017 17:47:39 +0800 Subject: [PATCH] fix typo --- doc/tutorial/statistical_inference/supervised_learning.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/tutorial/statistical_inference/supervised_learning.rst b/doc/tutorial/statistical_inference/supervised_learning.rst index dbba1cb727e47..6fab7e3cbb59e 100644 --- a/doc/tutorial/statistical_inference/supervised_learning.rst +++ b/doc/tutorial/statistical_inference/supervised_learning.rst @@ -341,7 +341,7 @@ application of Occam's razor: *prefer simpler models*. solves the lasso regression problem using a `coordinate descent `_ method, that is efficient on large datasets. However, scikit-learn also - provides the :class:`LassoLars` object using the *LARS* algorthm, + provides the :class:`LassoLars` object using the *LARS* algorithm, which is very efficient for problems in which the weight vector estimated is very sparse (i.e. problems with very few observations).