Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- from probability import *
- #peluangnya yang dikasih tau
- p = ProbDist('Flip')
- p['H'],p['T'] = 0.25,0.75
- #print(p)
- #kalau frekuensi kejadian yang dikasih tau
- P = ProbDist('X',{'low' : 125, 'medium' : 375, 'high' : 500})
- print(P['low'])
- P = ProbDist('X',{'low' : 125, 'medium' : 375, 'high' : 500})
- print(p.varname)
- print(p['low'],p['medium'],p['high'])
- #
- p = ProbDist('Y')
- p['Cat'] = 50
- p['Dog'] = 114
- p['Mice'] = 64
- print(p['Cat'],p['Dog'],p['Mice'])
- p.normalize()
- print(p['Cat'],p['Dog'],p['Mice'])
- chazmi=p.show_approx()
- print(chazmi)
- event = {'A' : 10,'B' : 9, 'C': 8}
- variables = ['C','A','B']
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement