From 4bf35653bf0091673355e7033e82ce73653b9531 Mon Sep 17 00:00:00 2001 From: Yngve Mardal Moe Date: Mon, 15 Jul 2019 16:55:53 +0200 Subject: [PATCH] Update README.rst --- README.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.rst b/README.rst index a1ce4e9..013f432 100644 --- a/README.rst +++ b/README.rst @@ -13,7 +13,7 @@ Group Lasso The group lasso [1] regulariser is a well known method to achieve structured sparsity in machine learning and statistics. The idea is to create -non-overlapping groups of covariate, and recover regression weights in which +non-overlapping groups of covariates, and recover regression weights in which only a sparse set of these covariate groups have non-zero components. There are several reasons for why this might be a good idea. Say for example