Created
September 30, 2018 05:17
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training the NLU model with Rasa
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| def train_nlu(data, configuration, model_dir): | |
| training_data = load_data(data) | |
| trainer = Trainer(config.load(configuration)) | |
| trainer.train(training_data) | |
| model_directory = trainer.persist(model_dir, fixed_model_name = 'customernlu') | |
| return model_directory |
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