def main():
n = 101
low = 0.0
high = 1.0
step = (high - low) / (n - 1)
suite = coin._make_uniform_suite(low, high, n)
evidence = 140, 110
likelihood_biased = _integrate_likelihood(evidence, suite, step)
print(likelihood_biased)
likelihood_unbiased = coin._likelihood(evidence, 0.5)
print(likelihood_unbiased)
ratio = likelihood_biased / likelihood_unbiased
print(ratio)
def _integrate_likelihood(evidence, suite, step):
"""
Computes the integral of the likelihood over all hypothesis in suite.
Args:
evidence: some representation of the evidence
suite: Pmf object that maps possible parameters to their probabilities
step: float step size between parameters in the suite
Returns:
float
"""
total = 0.0
for hypo in suite._values():
likelihood = coin._likelihood(evidence, hypo)
total += likelihood * suite._prob(hypo)
return total