DOC Fix typos (scikit-learn#31138)

Author: DimitriPapadopoulos

doc/whats_new/upcoming_changes/array-api/30340.other.rst

@@ -1,4 +1,4 @@
 - array-api-compat and array-api-extra are now vendored within the
   scikit-learn source. Users of the experimental array API standard
-  support no longer need to install array-api-compat in their environemnt.
+  support no longer need to install array-api-compat in their environment.
   by :user:`Lucas Colley <lucascolley>`

sklearn/externals/array_api_compat/common/_helpers.py

@@ -899,7 +899,7 @@ def is_lazy_array(x: object) -> bool:
     try:
         bool(x)
         return False
-    # The Array API standard dictactes that __bool__ should raise TypeError if the
+    # The Array API standard dictates that __bool__ should raise TypeError if the
     # output cannot be defined.
     # Here we allow for it to raise arbitrary exceptions, e.g. like Dask does.
     except Exception:

sklearn/metrics/_classification.py

@@ -3487,7 +3487,7 @@ def brier_score_loss(
 
     The smaller the Brier score loss, the better, hence the naming with "loss".
     The Brier score measures the mean squared difference between the predicted
-    probability and the actual outcome. The Brier score is a stricly proper scoring
+    probability and the actual outcome. The Brier score is a strictly proper scoring
     rule.
 
     Read more in the :ref:`User Guide <brier_score_loss>`.