style: fix typo

Author: rememberYou

pyrdf2vec/walkers/ngram.py

@@ -36,11 +36,6 @@ class NGramWalker(RandomWalker):
         wildcards: The wildcards to be used to match sub-sequences with small
             differences to be mapped onto the same label.
             Defaults to None.
-        with_reverse: True to extracts parents and children hops from an
-            entity, creating (max_walks * max_walks) walks of 2 * depth,
-            allowing also to centralize this entity in the walks. False
-            otherwise.
-            Defaults to False.
 
     """
 

pyrdf2vec/walkers/walker.py

@@ -47,7 +47,7 @@ class Walker(ABC):
         with_reverse: True to extracts parents and children hops from an
             entity, creating (max_walks * max_walks) walks of 2 * depth,
             allowing also to centralize this entity in the walks. False
-            otherwise.
+            otherwise. This doesn't work with NGramWalker and WLWalker.
             Defaults to False.
 
     """

pyrdf2vec/walkers/weisfeiler_lehman.py

@@ -37,11 +37,6 @@ class WLWalker(RandomWalker):
             Defaults to None.
         sampler: The sampling strategy.
             Defaults to UniformSampler.
-        with_reverse: True to extracts parents and children hops from an
-            entity, creating (max_walks * max_walks) walks of 2 * depth,
-            allowing also to centralize this entity in the walks. False
-            otherwise.
-            Defaults to False.
         wl_iterations: The Weisfeiler Lehman's iteration.
             Defaults to 4.