Support bilstm_depth argument in ud-train
@@ -302,7 +302,7 @@ def initialize_pipeline(nlp, docs, golds, config, device):
class Config(object):
def __init__(self, vectors=None, max_doc_length=10, multitask_tag=False,
multitask_sent=False, multitask_dep=False, multitask_vectors=None,
- nr_epoch=30, min_batch_size=100, max_batch_size=1000,
+ bilstm_depth=0, nr_epoch=30, min_batch_size=100, max_batch_size=1000,
batch_by_words=True, dropout=0.2, conv_depth=4, subword_features=True,
vectors_dir=None):
if vectors_dir is not None:
