"""This file contains code for use with "Think Bayes",
by Allen B. Downey, available from greenteapress.com
Copyright 2012 Allen B. Downey
License: GNU GPLv3 http://www.gnu.org/licenses/gpl.html
"""
from __future__ import print_function
from dice import Dice
import thinkplot
class Train(Dice):
"""The likelihood function for the train problem is the same as
for the Dice problem."""
def Mean(suite):
total = 0
for hypo, prob in suite.Items():
total += hypo * prob
return total
def MakePosterior(high, dataset):
hypos = range(1, high+1)
suite = Train(hypos)
suite.name = str(high)
for data in dataset:
suite.Update(data)
thinkplot.Pmf(suite)
return suite
def main():
dataset = [30, 60, 90]
for high in [500, 1000, 2000]:
suite = MakePosterior(high, dataset)
print(high, suite.Mean())
thinkplot.Save(root='train2',
xlabel='Number of trains',
ylabel='Probability')
if __name__ == '__main__':
main()
