[mlpack-git] (blog) master: detail (b467a37)

[gitdub at mlpack.org]

Repository : https://github.com/mlpack/blog
On branch  : master
Link       : https://github.com/mlpack/blog/compare/36e50aeaf890083946302e6206a4deccf06e0e29...b467a376f66407aad0ee878ead7afe42dfe3f366

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commit b467a376f66407aad0ee878ead7afe42dfe3f366
Author: MarcosPividori <marcos.pividori at gmail.com>
Date:   Mon Jun 13 14:19:52 2016 -0300

    detail


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b467a376f66407aad0ee878ead7afe42dfe3f366
 content/blog/MarcosWeekThree.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/content/blog/MarcosWeekThree.md b/content/blog/MarcosWeekThree.md
index 8f60fb8..1c33744 100644
--- a/content/blog/MarcosWeekThree.md
+++ b/content/blog/MarcosWeekThree.md
@@ -20,7 +20,7 @@ Then, I added many test cases with different values of epsilon and different
 kind of trees (KDTree/BallTree/CoverTree), checking the relative error between
 the approximated results and the true best candidates.
 
-The command line tools: mlpack_knn and lmpack_kfn, were updated to include an
+The command line tools: mlpack_knn and mlpack_kfn, were updated to include an
 extra option "-e", to specify the relative error (default value: 0).
 We have been discussing about which approximation parameters use for KFN in
 [[3]](http://github.com/mlpack/mlpack/pull/684/files/07879a2cc79b35b10d7fae687d6e27ad90a9f2d7#r66611928).