fix lossy rendering

Former-commit-id: d006e7b
online-ml · Sep 15, 2022 · 922562e · 922562e
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diff --git a/docs/benchmarks/index.md b/docs/benchmarks/index.md
@@ -10,19 +10,19 @@ hide:
 
 <pre>Python implementation: CPython
 Python version       : 3.9.12
-IPython version      : 8.3.0
+IPython version      : 7.30.1
 
-river       : 0.11.1
+river       : 0.12.1
 numpy       : 1.22.3
-scikit-learn: 1.1.1
+scikit-learn: 1.1.0
 pandas      : 1.4.1
-scipy       : 1.8.0
+scipy       : 1.9.0
 
-Compiler    : Clang 12.0.0 
+Compiler    : Clang 12.0.1 
 OS          : Darwin
-Release     : 21.4.0
-Machine     : arm64
-Processor   : arm
+Release     : 21.5.0
+Machine     : x86_64
+Processor   : i386
 CPU cores   : 8
 Architecture: 64bit
 </pre>

diff --git a/...n/getting-started/concept-drift-detection_files/concept-drift-detection_1_0.png b/...n/getting-started/concept-drift-detection_files/concept-drift-detection_1_0.png
diff --git a/...n/getting-started/concept-drift-detection_files/concept-drift-detection_3_1.png b/...n/getting-started/concept-drift-detection_files/concept-drift-detection_3_1.png
diff --git a/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_21_0.png b/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_21_0.png
diff --git a/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_23_0.png b/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_23_0.png
diff --git a/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_25_0.png b/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_25_0.png
diff --git a/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_27_0.png b/docs/recipes/on-hoeffding-trees_files/on-hoeffding-trees_27_0.png
diff --git a/river/stats/lossy.py b/river/stats/lossy.py
@@ -18,9 +18,11 @@ class LossyCount(stats.base.Univariate):
     algorithm has the following properties:
 
     - All item(set)s whose true frequency exceeds `support * n` are output. There are no
-    false negatives;
-    - No item(set) whose true frequency is less than `(support - epsilon) * n` is outputted;
-    - Estimated frequencies are less than the true frequencies by at most `epsilon * n`.
+    false negatives
+
+    - No item(set) whose true frequency is less than `(support - epsilon) * n` is outputted
+
+    - Estimated frequencies are less than the true frequencies by at most `epsilon * n`
 
     Parameters
     ----------