14. Normalized Sense Function
Normalized Sense Function
Question:
Start Quiz:
#Modify your code so that it normalizes the output for
#the function sense. This means that the entries in q
#should sum to one.
p=[0.2, 0.2, 0.2, 0.2, 0.2]
world=['green', 'red', 'red', 'green', 'green']
Z = 'red'
pHit = 0.6
pMiss = 0.2
def sense(p, Z):
q=[]
for i in range(len(p)):
hit = (Z == world[i])
q.append(p[i] * (hit * pHit + (1-hit) * pMiss))
return q
print sense(p,Z)
User's Answer:
(Note: The answer done by the user is not guaranteed to be correct)
#Modify your code so that it normalizes the output for
#the function sense. This means that the entries in q
#should sum to one.
p=[0.2, 0.2, 0.2, 0.2, 0.2]
world=['green', 'red', 'red', 'green', 'green']
Z = 'red'
pHit = 0.6
pMiss = 0.2
def sense(p, Z):
q=[]
for i in range(len(p)):
hit = (Z == world[i])
q.append(p[i] * (hit * pHit + (1-hit) * pMiss))
q = sum(q)
return q
print sense(p,Z)