The RasaNLUModelConfig class in Python's Rasa library helps to configure the settings for the Rasa NLU model. It provides a way to specify the different components and pipelines used in the NLU model, including the language, tokenizer, intent classifier, entity extractor, and other settings. With RasaNLUModelConfig, users can easily customize and fine-tune their NLU model to suit their specific requirements and achieve accurate natural language understanding.
Python RasaNLUModelConfig - 30 examples found. These are the top rated real world Python examples of rasa.nlu.config.RasaNLUModelConfig extracted from open source projects. You can rate examples to help us improve the quality of examples.