DOC add a known issue entry for euclidean_distances precision
@@ -116,11 +116,17 @@ cannot assure that this list is complete.)
Known Major Bugs
----------------
-* :issue:`11924`: :class:`LogisticRegressionCV` with `solver='lbfgs'` and
- `multi_class='multinomial'` may be non-deterministic or otherwise broken on
- macOS. This appears to be the case on Travis CI servers, but has not been
- confirmed on personal MacBooks! This issue has been present in previous
- releases.
+* :issue:`11924`: :class:`linear_model.LogisticRegressionCV` with
+ `solver='lbfgs'` and `multi_class='multinomial'` may be non-deterministic or
+ otherwise broken on macOS. This appears to be the case on Travis CI servers,
+ but has not been confirmed on personal MacBooks! This issue has been present
+ in previous releases.
+
+* :issue:`9354`: :func:`metrics.pairwise.euclidean_distances` (which is used
+ several times throughout the library) gives results with poor precision,
+ which particularly affects its use with 32-bit float inputs. This became
+ more problematic in versions 0.18 and 0.19 when some algorithms were changed
+ to avoid casting 32-bit data into 64-bit.
Changelog
---------
