Randomize pipeline order during training

2017-05-27 18:32:21 -05:00 · 2017-05-27 18:32:21 -05:00 · b082f76494
parent a1d4c97fb7
commit b082f76494
1 changed files with 3 additions and 1 deletions
--- a/spacy/language.py
+++ b/spacy/language.py
@ -215,7 +215,9 @@ class Language(object):
        grads = {}
        def get_grads(W, dW, key=None):
            grads[key] = (W, dW)
-        for proc in self.pipeline[1:]:
+        pipes = list(self.pipeline[1:])
+        random.shuffle(pipes)
+        for proc in pipes:
            if not hasattr(proc, 'update'):
                continue
            tokvecses, bp_tokvecses = tok2vec.model.begin_update(feats, drop=drop)