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cs401r_w2016:lab2 [2017/01/18 23:06]
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cs401r_w2016:lab2 [2021/06/30 23:42] (current)
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 When you display your prior, likelihood, and posterior, your figure should look something like the ones in the book; my version is shown here: When you display your prior, likelihood, and posterior, your figure should look something like the ones in the book; my version is shown here:
  
-{{:​cs401r_w2016:​lab2_bayesian_concepts.png?​direct&​800|}}+{{:​cs401r_w2016:​lab2_plp.JPG?​direct&​800|}}
  
 Similarly, when you display the posterior predictive, your figure should look something like this: Similarly, when you display the posterior predictive, your figure should look something like this:
  
-{{:​cs401r_w2016:​lab2_pp.png?​direct&​800|}}+{{:​cs401r_w2016:​lab2_predpost.JPG?​direct&​800|}}
  
 ---- ----
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 <code python> <code python>
-prior = numpy.ones(( len(concepts), 1 ))+prior = numpy.ones(len(concepts))
 prior[0] = 5 prior[0] = 5
 prior[1] = 5 prior[1] = 5
-prior[2] = 5 +prior[30] = .01 
-prior[21] = 5+prior[31] = .01
 prior = prior / numpy.sum(prior) prior = prior / numpy.sum(prior)
 </​code>​ </​code>​
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 ---- ----
 ====Hints:​==== ====Hints:​====
- 
-When using an ipython notebook, it's nice to make your plots show up inline. ​ To do this, add the following lines to the first cell of your notebook: 
- 
-<code python> 
- 
-# this tells seaborn and matplotlib to generate plots inline in the notebook 
-%matplotlib inline  ​ 
- 
-# these two lines allow you to control the figure size 
-%pylab inline 
-pylab.rcParams['​figure.figsize'​] = (16.0, 8.0) 
- 
-</​code>​ 
- 
  
 You may find the following functions useful: You may find the following functions useful:
cs401r_w2016/lab2.1484780778.txt.gz · Last modified: 2021/06/30 23:40 (external edit)