From 6.034 Wiki

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Revision as of 22:49, 24 November 2015

Contents 1 Problems 1.1 Descendants and non-descendants 1.2 Probability 1.3 Parameter-counting and independence 2 API 2.1 BayesNet 2.2 Helper functions 3 Feedback

This is an entirely optional lab for you to practice manipulating Bayes nets and probabilities computationally. This lab is worth no credit whatsoever. There will be no online tests. (However, if you would like to provide feedback to improve this new lab for next year, see below.) TODO

To get the code...

• You can view the files at: http://web.mit.edu/6.034/www/labs/lab_bayes/
• Download it as a ZIP file: http://web.mit.edu/6.034/www/labs/lab_bayes/lab_bayes.zip
• Or, on Athena, add 6.034 and copy it from /mit/6.034/www/labs/lab_bayes/.

Your answers will go in the main file lab_bayes.py.

Problems

Descendants and non-descendants

TODO

Probability

TODO

Parameter-counting and independence

TODO

API

The file bayes_api.py defines the BayesNet class, as well as some helper functions, all described below.

BayesNet

TODO

Helper functions

TODO

Feedback

Do you want to help us improve this new lab for next year? If so, here are two ways you can help:

• Email your feedback (and optionally your lab_bayes.py file, so we can use it to improve the tests) to Jessica at jmn@mit.edu with the subject line 'lab_bayes feedback'. [TODO mailto:...]
• Provide anonymous feedback through this form [TODO]

If you have additional feedback on previous labs, we're happy to receive that as well!