In a message of Mon, 03 Aug 2015 08:58:43 +0100, matej taferner writes: >hi guys, > >I am wondering if there is a python solution for the problem I am currently >dealing with. >I need to build a decision tree based questionnaire which helps users to >find the right answer. > >As a final product of this decision tree "app" I need a clickable buttons >ready to be embedded into the website which will guide customer(s) to >desired answer(s). > >Thanks, > >Matej
I am assuming that your app will need to learn based on user input. If you already know what all the answers are going to be, then the problem is a lot simpler. I have this book. Russell & Norvig's "Artificial Intelligence: A Modern Approach" http://www.amazon.com/Artificial-Intelligence-Modern-Approach-Edition/dp/01360\ 42597 It's comprehensive, but expensive. Maybe you can borrow it from a library. Chapters 18-20 are relevant. It comes with this code: http://aima-python.googlecode.com/svn/trunk/learning.py If you google for 'python decision trees' you get many other hits, for other code people have written to do this. This hit has some explanation as well. http://www.onlamp.com/pub/a/python/2006/02/09/ai_decision_trees.html?page=1 I haven't tried any of them, so don't know how good any of them are. If you know a good bit about machine learning, but don't know a lot about Python, then you can probably test them yourself, and we can help with getting the code to work, if you need help with that. If, on the other hand, machine learning is new to you, you will need to understand more about that first, and will probably need a textbook. The Russell and Norvig book is very good, but there are other good ones out there. Laura Creighton _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
