Hello, Is there any way to visualize the trained model of the rasa chatbot through jupyter note book by generating confusion matrix and F1- score? I know there is a tool called rasa lit but i don’t think they offer generate graph for both mention above . Have anyone tried before willing to share ?

You can generate confusion matrices and confidence histograms using rasa test ( see this ). You can also use Tensorboard to visualize train and test accuracies and F1 for DIET, ResponseSelector, and TED ( see this ).

@BELIEVEIT I hope this repo will help you if you want to run inside Jupyter Notebook: EmergencyChatbot/Rasa_Emergency_Chatbot_Colab.ipynb at master · claudio1975/EmergencyChatbot · GitHub But, I believe, rasa already has an inbuild function rasa train which will visualize your model as suggested by Chris. @BELIEVEIT Do check this : Making Apps for the Rasa Research Team & Open Source Community @BELIEVEIT Do check this: GitHub - RasaHQ/rasalit: Visualizations and helpers to improve and debug machine learning models for R This is for your idea, and you need to implement the code for yourself. Good Luck!

Ways to visualization trained model

Rasa Open Source

BELIEVEIT (TAY WEN JIE ) August 15, 2021, 4:38pm 4

Thanks @ChrisRahme and nik202 , i will give a try . Thanks for the information .

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Ways to visualization trained model

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