Sorry I would like to ask a seemingly simple question: how to train a model in RASA_NLU?
I have followed: https://rasa.com/docs/nlu/languages/, and GitHub - crownpku/Rasa_NLU_Chi: Turn Chinese natural language into structured data 中文自然语言理解, and here is the config_zh_mitie_sklearn_plus_dict_path.yml file:
language: "zh"
pipeline:
- name: "nlp_mitie"
model: "./data/zh/total_word_feature_extractor_zh.dat"
- name: "tokenizer_jieba"
default_dict: "./data/jieba_default.big.txt"
user_dicts: "./jieba_userdict/jieba_userdict.txt"
- name: "ner_mitie"
- name: "ner_synonyms"
- name: "intent_entity_featurizer_regex"
- name: "intent_featurizer_mitie"
- name: "intent_classifier_sklearn"
I am pretty sure that all files are there. No non-exists file/dir.
And here is the command:
sudo python3 -m rasa_nlu.train --config config_zh_mitie_sklearn_plus_dict_path.yml --data ./data/zh/ --path ./model/zh -v --debug
No response, no error, no nothing, no model of course.
May I ask what am I doing it wrong? Or is the model there but it is in other dir?
Thank you very much in advance for all your help.