Merge branch 'develop' of https://github.com/explosion/spaCy into develop

spacy/cli/train.py

@@ -144,6 +144,7 @@ def train(
         max_steps=T_cfg["max_steps"],
         eval_frequency=T_cfg["eval_frequency"],
         raw_text=None,
+        exclude=frozen_components
     )
     msg.info(f"Training. Initial learn rate: {optimizer.learn_rate}")
     print_row = setup_printer(T_cfg, nlp)

spacy/pipeline/textcat.py

@@ -355,7 +355,7 @@ class TextCategorizer(Pipe):
             for cat in y.cats:
                 self.add_label(cat)
         self.require_labels()
-        docs = [Doc(Vocab(), words=["hello"])]
+        docs = [Doc(self.vocab, words=["hello"])]
         truths, _ = self._examples_to_truth(examples)
         self.set_output(len(self.labels))
         self.model.initialize(X=docs, Y=truths)