From cc8c8d0fbe7caa0800c9a8749dfa4c65b4bccc56 Mon Sep 17 00:00:00 2001 From: Yuchen Pei Date: Fri, 4 Jan 2019 15:14:11 +0100 Subject: minor --- posts/2019-01-03-discriminant-analysis.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/posts/2019-01-03-discriminant-analysis.md b/posts/2019-01-03-discriminant-analysis.md index d2aaaa3..28c53d5 100644 --- a/posts/2019-01-03-discriminant-analysis.md +++ b/posts/2019-01-03-discriminant-analysis.md @@ -176,8 +176,7 @@ 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 of -LDA is done without +Note that as of 2019-01-04, in the [scikit-learn implementation of LDA](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/discriminant_analysis.py), the prediction 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`. -- cgit v1.2.3