pitcher


Think Bayes

This notebook presents example code and exercise solutions for Think Bayes.

Copyright 2016 Allen B. Downey

MIT License: https://opensource.org/licenses/MIT


In [5]:
# Configure Jupyter so figures appear in the notebook
%matplotlib inline

# Configure Jupyter to display the assigned value after an assignment
%config InteractiveShell.ast_node_interactivity='last_expr_or_assign'

# import classes from thinkbayes2
from thinkbayes2 import Pmf, Suite

import thinkplot

In [6]:
class Subclass(Suite):
    
    def Likelihood(self, data, hypo):
        """Computes the likelihood of the data under the hypothesis.
        
        data: 
        hypo: 
        """
        like = 1
        return like

In [8]:
prior = Subclass([1,2,3])
thinkplot.Hist(prior)
thinkplot.Config(xlabel='x', ylabel='PMF')


No handles with labels found to put in legend.

In [10]:
posterior = prior.Copy()
posterior.Update(1)
thinkplot.Hist(prior, color='gray')
thinkplot.Hist(posterior)
thinkplot.Config(xlabel='x', ylabel='PMF')


No handles with labels found to put in legend.

In [ ]: