I have developed my custom keras policy using model functional API of keras. As rasa ‘keras policy’ has developed for Sequential model of keras, I have customized every functions and its arguments in my custom keras policy. When I have imported my custom keras policy and tried to train using the command ‘rasa train core’, it throws me an error. > async def train_core( > domain_file: Text = "domain.yml", > model_directory: Text = "models", > model_name: Text = "current", > training_data_file: Text = "data/sample_stories_1.md", > ): > agent = Agent( > domain_file, > policies=[ > MemoizationPolicy(max_history=3), > MappingPolicy(), > Custom_KerasPolicy(batch_size=64, epochs=100, validation_split=0.2), > ], > ) I get the following error, TypeError: Style() takes no arguments Could I get help to solve this issue?

Training rasa custom keras policy using rasa Agent

akelad (Akela Drissner) December 6, 2019, 10:44am 5

@sarankarthik you just need to add it to your config.yml file and then it will also train the custom policy

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