Remove TrainablePipe.activations

We do not need to enumerate the activations anymore since `store_activations` is
`bool`.

spacy/pipeline/edit_tree_lemmatizer.py

@@ -394,7 +394,3 @@ class EditTreeLemmatizer(TrainablePipe):
             self.tree2label[tree_id] = len(self.cfg["labels"])
             self.cfg["labels"].append(tree_id)
         return self.tree2label[tree_id]
-
-    @property
-    def activations(self):
-        return ["probs", "guesses"]

spacy/pipeline/entity_linker.py

@@ -656,10 +656,6 @@ class EntityLinker(TrainablePipe):
     def add_label(self, label):
         raise NotImplementedError
 
-    @property
-    def activations(self):
-        return ["ents", "scores"]
-
     def _add_doc_activations(
         self,
         *,

spacy/pipeline/senter.pyx

@@ -205,7 +205,3 @@ class SentenceRecognizer(Tagger):
 
     def add_label(self, label, values=None):
         raise NotImplementedError
-
-    @property
-    def activations(self):
-        return ["probs", "guesses"]

spacy/pipeline/spancat.py

@@ -493,7 +493,3 @@ class SpanCategorizer(TrainablePipe):
                     spans.append(Span(doc, start, end, label=labels[j]))
 
         return spans
-
-    @property
-    def activations(self):
-        return ["indices", "scores"]

spacy/pipeline/tagger.pyx

@@ -338,8 +338,4 @@ class Tagger(TrainablePipe):
         self._allow_extra_label()
         self.cfg["labels"].append(label)
         self.vocab.strings.add(label)
-        return 1
-
-    @property
-    def activations(self):
-        return ["probs", "guesses"]
+        return 1

spacy/pipeline/textcat.py

@@ -416,7 +416,3 @@ class TextCategorizer(TrainablePipe):
         for ex in examples:
             if list(ex.reference.cats.values()).count(1.0) > 1:
                 raise ValueError(Errors.E895.format(value=ex.reference.cats))
-
-    @property
-    def activations(self):
-        return ["probs"]

spacy/pipeline/trainable_pipe.pyx

@@ -344,10 +344,6 @@ cdef class TrainablePipe(Pipe):
         util.from_disk(path, deserialize, exclude)
         return self
 
-    @property
-    def activations(self):
-        raise NotImplementedError(Errors.E931.format(parent="TrainablePipe", method="activations", name=self.name))
-
     @property
     def store_activations(self):
         return self._store_activations

spacy/pipeline/transition_parser.pyx

@@ -665,10 +665,4 @@ cdef class Parser(TrainablePipe):
                     golds.append(gold)
                 if state.is_final():
                     break
-        return states, golds, max_length
-
-    @property
-    def activations(self):
-        # We currently do not have access to the state ids or probabilities
-        # after parsing. TODO: the parser refactor does provide some history.
-        return []
+        return states, golds, max_length