From 6837e17fe05f16d907c00a23588b280749013b59 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gr=C3=A9gory=20Chatel?= Date: Thu, 20 Jul 2017 11:42:00 +0200 Subject: [PATCH] Typo correction. --- notebooks/05.05-Naive-Bayes.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/05.05-Naive-Bayes.ipynb b/notebooks/05.05-Naive-Bayes.ipynb index 3de676f9a..4caf1d4c9 100644 --- a/notebooks/05.05-Naive-Bayes.ipynb +++ b/notebooks/05.05-Naive-Bayes.ipynb @@ -268,7 +268,7 @@ "Another useful example is multinomial naive Bayes, where the features are assumed to be generated from a simple multinomial distribution.\n", "The multinomial distribution describes the probability of observing counts among a number of categories, and thus multinomial naive Bayes is most appropriate for features that represent counts or count rates.\n", "\n", - "The idea is precisely the same as before, except that instead of modeling the data distribution with the best-fit Gaussian, we model the data distribuiton with a best-fit multinomial distribution." + "The idea is precisely the same as before, except that instead of modeling the data distribution with the best-fit Gaussian, we model the data distribution with a best-fit multinomial distribution." ] }, {