From cc8ee1bd1be93459e70bd14ddbf8a93c059825f4 Mon Sep 17 00:00:00 2001
From: Max Halford <maxhalford25@gmail.com>
Date: Thu, 2 Nov 2023 19:06:46 +0100
Subject: [PATCH] ellipsis

---
 river/naive_bayes/bernoulli.py           | 2 +-
 river/preprocessing/random_projection.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/river/naive_bayes/bernoulli.py b/river/naive_bayes/bernoulli.py
index 7ddba2acb0..d5b2efc92d 100644
--- a/river/naive_bayes/bernoulli.py
+++ b/river/naive_bayes/bernoulli.py
@@ -62,7 +62,7 @@ class BernoulliNB(base.BaseNB):
     0.25
 
     >>> model.predict_proba_one("test")
-    {'yes': 0.8831539823829913, 'no': 0.11684601761700895}
+    {'yes': 0.883..., 'no': 0.116...}
 
     >>> model.predict_one("test")
     'yes'
diff --git a/river/preprocessing/random_projection.py b/river/preprocessing/random_projection.py
index 13e2152f04..979c249595 100644
--- a/river/preprocessing/random_projection.py
+++ b/river/preprocessing/random_projection.py
@@ -39,7 +39,7 @@ class GaussianRandomProjector(base.Transformer):
     ...     x = model.transform_one(x)
     ...     print(x)
     ...     break
-    {0: -61289.37139206629, 1: 141312.51039283074, 2: 279165.99370457436}
+    {0: -61289.371..., 1: 141312.510..., 2: 279165.993...}
 
     >>> model = (
     ...     preprocessing.GaussianRandomProjector(
@@ -50,7 +50,7 @@ class GaussianRandomProjector(base.Transformer):
     ...     linear_model.LinearRegression()
     ... )
     >>> evaluate.progressive_val_score(dataset, model, metrics.MAE())
-    MAE: 0.933502
+    MAE: 0.933...
 
     References
     ----------