Fix defaults for ud-train

spacy/cli/ud_train.py

@@ -300,17 +300,25 @@ def initialize_pipeline(nlp, docs, golds, config, device):
 ########################
 
 class Config(object):
-    def __init__(self, vectors=None, max_doc_length=10, multitask_tag=True,
+    def __init__(self, vectors=None, max_doc_length=10, multitask_tag=False,
-                multitask_sent=True, multitask_dep=True, multitask_vectors=False,
+                multitask_sent=False, multitask_dep=False, multitask_vectors=None,
-                nr_epoch=30, min_batch_size=1, max_batch_size=16, batch_by_words=False,
+                nr_epoch=30, min_batch_size=100, max_batch_size=1000,
-                dropout=0.2, conv_depth=4, subword_features=True):
+                batch_by_words=True, dropout=0.2, conv_depth=4, subword_features=True,
+                vectors_dir=None):
+        if vectors_dir is not None:
+            if vectors is None:
+                vectors = True
+            if multitask_vectors is None:
+                multitask_vectors = True
         for key, value in locals().items():
             setattr(self, key, value)
     
     @classmethod
-    def load(cls, loc):
+    def load(cls, loc, vectors_dir=None):
         with Path(loc).open('r', encoding='utf8') as file_:
             cfg = json.load(file_)
+        if vectors_dir is not None:
+            cfg['vectors_dir'] = vectors_dir
         return cls(**cfg)
 
 
@@ -353,16 +361,16 @@ class TreebankPaths(object):
     vectors_dir=("Path to directory with pre-trained vectors, named e.g. en/",
                          "option", "v", Path),
 )
-def main(ud_dir, parses_dir, config=None, corpus, limit=0, use_gpu=-1, vectors_dir=None,
+def main(ud_dir, parses_dir, corpus, config=None, limit=0, use_gpu=-1, vectors_dir=None,
         use_oracle_segments=False):
     spacy.util.fix_random_seed()
     lang.zh.Chinese.Defaults.use_jieba = False
     lang.ja.Japanese.Defaults.use_janome = False
    
     if config is not None:
-        config = Config.load(config)
+        config = Config.load(config, vectors_dir=vectors_dir)
     else:
-        config = Config()
+        config = Config(vectors_dir=vectors_dir)
     paths = TreebankPaths(ud_dir, corpus)
     if not (parses_dir / corpus).exists():
         (parses_dir / corpus).mkdir()