From e5a7def96e7403b5cd9719f4f19c049922ec47df Mon Sep 17 00:00:00 2001
From: Bas Nijholt <basnijholt@gmail.com>
Date: Tue, 17 Sep 2019 17:23:11 +0200
Subject: [PATCH] small update

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 paper.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/paper.md b/paper.md
index 9330d55..1a5aa7a 100755
--- a/paper.md
+++ b/paper.md
@@ -238,8 +238,8 @@ Here, we see that for homogeneous sampling to get the same error as sampling wit
 #### The learner abstracts a loss based priority queue.
 We will now introduce Adaptive's API.
 The object that can suggest points based on existing data is called a *learner*.
-It abstracts a loss based priority queue.
-We can either *ask* for points or *tell* the `learner` new data point.
+The learner abstracts a loss based priority queue.
+We can either *ask* it for points or *tell* the `learner` new data point.
 We can define a *learner* as follows
 ```python
 from adaptive import Learner1D
-- 
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