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There is a desire to have a basic question and answer trainer, so that the flow an ongoing conversation does not "ruin" the training set by linking an answer to the following question in a list of question and answers.
Unwanted:
Q: What is your favorite color?
A: Blue
Q: What is your favorite number?
A: 13
Using the ListTrainer would associate "Blue" with "What is your favorite number?"
This QuestionAnswerTrainer solves that problem by only creating Statements that associate the question with the answer, and then moves to the next question in the list to begin new Statement creation.
quizzer = QuestionAnswerTrainer(chatbot)
quizzer.train(["What color is sky?","Blue"])
File "C:\Python\Python38\OurStuff\AI\NLP\Chatbot\trainers.py", line 144, in train
question_search_text = self.chatbot.storage.tagger.get_text_index_string(qa_list[i-1])
AttributeError: "PosHypernymTagger" object has no attribute "get_text_index_string"
quizzer = QuestionAnswerTrainer(chatbot)
quizzer.train(["What color is sky?","Blue"])
File "C:\Python\Python38\OurStuff\AI\NLP\Chatbot\trainers.py", line 144, in train
question_search_text = self.chatbot.storage.tagger.get_text_index_string(qa_list[i-1])
AttributeError: "PosHypernymTagger" object has no attribute "get_text_index_string"
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There is a desire to have a basic question and answer trainer, so that the flow an ongoing conversation does not "ruin" the training set by linking an answer to the following question in a list of question and answers.
Unwanted:
Q: What is your favorite color?
A: Blue
Q: What is your favorite number?
A: 13
Using the ListTrainer would associate "Blue" with "What is your favorite number?"
This QuestionAnswerTrainer solves that problem by only creating Statements that associate the question with the answer, and then moves to the next question in the list to begin new Statement creation.
Fixes #1898