From 9c8d1f83941180bddeaaa572c2a4e7178f29eed9 Mon Sep 17 00:00:00 2001 From: F0Z Date: Mon, 7 Mar 2016 22:13:16 +0530 Subject: [PATCH] Fixed latex --- src/shogun/multiclass/KNN.h | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/src/shogun/multiclass/KNN.h b/src/shogun/multiclass/KNN.h index ff9746a1be7..e3aa6c978d8 100644 --- a/src/shogun/multiclass/KNN.h +++ b/src/shogun/multiclass/KNN.h @@ -34,13 +34,16 @@ class CDistanceMachine; * k closest examples belong to. Formally, kNN is described as * * \f[ - * label for x = \arg \max_{l} \sum_{i=1}^{k} [label of i-th example = l] + * y_{x} = \arg \max_{l} \sum_{i=1}^{k} I[y_{i} = l], * \f] + * + * where \f$y_{m}\f$ denotes the label of the \f$m^{th}\f$ example, and the + * indicator function \f$I[a = b]\f$ equals 1 if a = b and zero otherwise. * * This class provides a capability to do weighted classfication using: * * \f[ - * label for x = \arg \max_{l} \sum_{i=1}^{k} [label of i-th example = l] q^{i}, + * y_{x} = \arg \max_{l} \sum_{i=1}^{k} I[y_{i} = l] q^{i}, * \f] * * where \f$|q|<1\f$.