def test_calculate_incorrect():
assert calculate_incorrect(guess=0, slip=0, learned=0.5) == 0.5
assert calculate_incorrect(guess=1, slip=1, learned=0.5) == 0.5
assert calculate_incorrect(guess=0, slip=1, learned=0.5) == 1
assert calculate_incorrect(guess=1, slip=0, learned=0.5) == 0
assert calculate_incorrect(guess=0.25, slip=0.05, learned=0.9) == 0.12
assert calculate_incorrect(guess=0.25, slip=0.05, learned=0.5) == 0.4
assert calculate_incorrect(guess=0.25, slip=0.05, learned=0.1) == 0.68
def likelihood(self, data, hypothesis):
"""
Given new data and one of the guess hypotheses,
update the probability of that hypothesis.
"""
score, learned, slip = \
data['score'], data['learned'], data['slip']
return (score * calculate_correct(hypothesis, slip, learned) +
(1 - score) * calculate_incorrect(hypothesis, slip, learned))
def get_slip_pmf_likelihood(data, hypothesis):
"""
Given new data and one of the slip hypotheses,
update the probability of that hypothesis.
"""
score, learned, guess = \
data['score'], data['learned'], data['guess']
return (score * calculate_correct(guess, hypothesis, learned) +
(1 - score) * calculate_incorrect(guess, hypothesis, learned))
def likelihood(self, data, hypothesis):
"""
Given new data and one of the slip hypotheses,
update the probability of that hypothesis.
"""
score, learned, guess = \
data['score'], data['learned'], data['guess']
return (score
* calculate_correct(guess, hypothesis, learned)
+ (1 - score)
* calculate_incorrect(guess, hypothesis, learned))
def slip_normal(score, guess, slip, learned):
if score == 1:
return calculate_correct(guess, slip, learned)
if score == 0:
return calculate_incorrect(guess, slip, learned)
def slip_likelihood(score, guess, slip, learned):
if score == 1:
return calculate_correct(guess, 1, learned)
if score == 0:
return calculate_incorrect(guess, 1, learned)
def slip_normal(score, guess, slip, learned):
if score == 1:
return calculate_correct(guess, slip, learned)
if score == 0:
return calculate_incorrect(guess, slip, learned)
def slip_likelihood(score, guess, slip, learned):
if score == 1:
return calculate_correct(guess, 1, learned)
if score == 0:
return calculate_incorrect(guess, 1, learned)