minor

1 files changed, 2 insertions, 1 deletions

diff --git a/posts/2019-01-03-discriminant-analysis.md b/posts/2019-01-03-discriminant-analysis.md
index 51630b3..d2aaaa3 100644
--- a/posts/2019-01-03-discriminant-analysis.md
+++ b/posts/2019-01-03-discriminant-analysis.md
@@ -176,7 +176,8 @@ will result in a lossy compression / regularisation equivalent to doing
 analysis](https://en.wikipedia.org/wiki/Principal_component_analysis) on
 $(M - \bar x) V_x D_x^{-1}$.
 
-Note that as of 2019-01-04, in the scikit-learn implementation, the prediction is done without
+Note that as of 2019-01-04, in the scikit-learn implementation, the prediction of
+LDA is done without
 any lossy compression, even if the parameter `n_components` is set to be smaller
 than dimension of the affine space spanned by the centroids.
 In other words, the prediction does not change regardless of `n_components`.