From 108686cee77f5ef731c3698a842b1035c2df04c8 Mon Sep 17 00:00:00 2001 From: Volodymyr Orlov Date: Mon, 31 Aug 2020 13:50:31 -0700 Subject: [PATCH] fix: formatting --- src/metrics/mod.rs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/metrics/mod.rs b/src/metrics/mod.rs index 13629c6..1584c0c 100644 --- a/src/metrics/mod.rs +++ b/src/metrics/mod.rs @@ -1,5 +1,5 @@ //! # Metric functions -//! +//! //! One way to build machine learning models is to use a constructive feedback loop through model evaluation. //! In a feedback loop you build your model first, then you get feedback from metrics, improve it and repeat until your model achieve desirable performance. //! Evaluation metrics helps to explain the performance of a model and compare models based on an objective criterion.