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Don't create low-data text classifier if no vectors

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Matthew Honnibal 2017-11-01 16:34:09 +01:00
parent e7a9174877
commit 9f9439667b
1 changed files with 1 additions and 1 deletions
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spacy/_ml.py
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@ -434,7 +434,7 @@ def build_text_classifier(nr_class, width=64, **cfg):
pretrained_dims = cfg.get('pretrained_dims', 0) pretrained_dims = cfg.get('pretrained_dims', 0)
with Model.define_operators({'>>': chain, '+': add, '|': concatenate, with Model.define_operators({'>>': chain, '+': add, '|': concatenate,
'**': clone}): '**': clone}):
if cfg.get('low_data'): if cfg.get('low_data') and pretrained_dims:
model = ( model = (
SpacyVectors SpacyVectors
>> flatten_add_lengths >> flatten_add_lengths