From c361fee6e13024372baa2ee9cabeffcc10109717 Mon Sep 17 00:00:00 2001 From: Mihir Paradkar Date: Fri, 10 Feb 2017 21:25:19 -0500 Subject: [PATCH] updated README for multiple losses --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6cd0323..a0fca58 100644 --- a/README.md +++ b/README.md @@ -70,12 +70,12 @@ In the style of most dimensionality reduction algorithms, the constructor is an acronym (Graph Generalized Low Rank Model). For a matrix with no missing data, usage is as follows: ```julia -gm = GGLRM(A, loss, rx, ry, k) +gm = GGLRM(A, losses, rx, ry, k) ``` For a matrix with missing data, add an obs parameter to only optimize over the observed set of data ```julia -gm = GGLRM(Amissing, loss, rx, ry, k, obs=observations(Amissing)) +gm = GGLRM(Amissing, losses, rx, ry, k, obs=observations(Amissing)) ``` To fit this model, call: ```julia