def team2_score(roster):
cats, points, scores, _ = simulate_h2h(roster,
team1.roster(week=week),
num_days=num_days,
num_samples=num_samples,
week=week,
decay_rate=decay_rate)
return metric_fn(cats, points, scores, num_samples)
def roster_score(other_roster, num_days, num_samples, week, decay_rate,
roster):
cats, points, scores, _ = simulate_h2h(roster,
other_roster,
num_days=num_days,
num_samples=num_samples,
week=week,
decay_rate=decay_rate)
means = cats.mean(axis=1)
table = []
probs = np.concatenate([
(cats[0, ..., :-1] > cats[1, ..., :-1]).mean(axis=0),
(cats[0, ..., -1:] < cats[1, ..., -1:]).mean(axis=0),
])
for j, cat in enumerate(CATEGORY_NAMES):
table.append([cat] + list(means[:, j]) + [probs[..., j]])
result = winning_prob(cats, points, scores, num_samples)
return result