Gavriel Loria ae5601beae Initialize trues to 0.0 in training example (#3004) ... * added contributor agreement * if there are no true positives, precision should be 0.0		2018-12-03 01:33:22 +01:00
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ner_multitask_objective.py	Add example of NER multitask objective	2018-01-21 19:46:37 +01:00
train_intent_parser.py	💫 Update training examples and use minibatching (#2830)	2018-10-10 01:40:29 +02:00
train_ner.py	💫 Update training examples and use minibatching (#2830)	2018-10-10 01:40:29 +02:00
train_new_entity_type.py	💫 Update training examples and use minibatching (#2830)	2018-10-10 01:40:29 +02:00
train_parser.py	💫 Update training examples and use minibatching (#2830)	2018-10-10 01:40:29 +02:00
train_tagger.py	💫 Update training examples and use minibatching (#2830)	2018-10-10 01:40:29 +02:00
train_textcat.py	Initialize trues to 0.0 in training example (#3004)	2018-12-03 01:33:22 +01:00
training-data.json	Use better training data JSON example	2017-10-24 16:00:56 +02:00
vocab-data.jsonl	Use even smaller examle size	2017-10-30 19:46:45 +01:00