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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13.5
ジョイント分布を記録する
■
163
返却値は、期間の最後での腫瘍の体積である
final
と、
seq
の体積の組に新たに
final
の体積を追加した新しい組
new_seq
とである。
Cache.Add
は、次節で説明するように、各期間の最後での腫瘍の年齢とサイズとを記
録する。
13.5
ジョイント分布を記録する
cache
の振る舞いは次のようになる。
class Cache(object):
def
__
init
__
(self):
self.joint = thinkbayes.Joint()
joint
は年齢−サイズの各対の頻度を記録するジョイント
Pmf
であり、年齢とサイズ
とのジョイント分布を近似する。
シミュレーションの各期間で、
ExtendSequence
が
Add
を呼び出す。
# class Cache
def Add(self, age, seq):
final = seq[-1]
cm = Diameter(final)
bucket = round(CmToBucket(cm))
self.joint.Incr((age, bucket))
ここでも、
age
は腫瘍の年齢、
seq
はこれまでの体積の列である。
ジョイント分布に新しいデータを付け加える前に、
Diameter
を使って、体積を
cm
単
位の径に変換する。
def Diameter(volume, factor=3/math.pi/4, exp=1/3.0):
return 2 * (factor * volume) ** exp ...
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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.