September 2014
Intermediate to advanced
236 pages
4h 17m
Japanese
Content preview from Think Bayes ―プログラマのためのベイズ統計入門
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2.6
M&M'S
問題
■
17
class Suite(Pmf):
"""
仮説とその確率のスイートを表す
"""
def
__
init
__
(self, hypo=tuple()):
"""
分布を初期化する
"""
def Update(self, data):
"""
データに基づいて各仮説を更新する
"""
def Print(self):
"""
仮説とその確率を出力する
"""
Suite
の実装は
thinkbayes.py
にある。
Suite
を使うには、継承クラスを作って
Likelihood
を用意する必要がある。例えば、
Suite
を使って書き直したモンティ・ホー
ル問題は次のようになる。
from thinkbayes import Suite
class Monty(Suite):
def Likelihood(self, data,
hypo):
if hypo == data:
return 0
elif hypo == 'A':
return 0.5
else:
return 1
このクラスを使ったコードは次のようになる。
suite = Monty('ABC')
suite.Update('B')
suite.Print()
この例は、
http://thinkbayes.com/monty2.py
からダウンロードできる。詳細につい
ては、まえがきの「コードについて」（
ix
ページ）を参照のこと。
2.6
M&M'S
問題
フレームワーク
Suite
を使って
M&M'S
問題を解くことができる。関数
Likelihood ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.