def test_predict():
from reader import team_names, seasons
names = team_names()
s = seasons()
season = s[0]
predictions = Predictions(rate_elo( season))
for i, ki in enumerate(predictions.teams):
for j, kj in enumerate(predictions.teams):
if i is j:
continue
print names[ki], names[kj], predictions[(ki, kj)]
def solve():
from reader import seasons
from elo_rater import predictions
with open('data/submission.csv', 'w') as fn:
fn.write('id,pred\n')
for season in seasons()[-6:-1]:
print season
preds = predictions(season)
for a,b,c in matchups(season):
v = preds[(b,c)]
fn.write('{0}_{1}_{2},{3}\n'.format(a,b,c,v))
def test_how_many_top_seed_overlaps():
from reader import team_names, seasons
names = team_names()
seeds = data[4]
s = seasons()
regions = ['W', 'X', 'Y', 'Z']
top_seeds = ['%s%02d' % (r, i) for r in regions for i in range(1,4)]
print top_seeds
for season in s:
print season
season_seeds =seeds[(seeds.season == season)]
print season_seeds.shape[0]
for j, y in season_seeds.iterrows():
if y['seed'] in top_seeds:
print names[y['team']], y['seed']
for k,v in sorted(rate_elo(season).items(), key=lambda x: x[1], reverse=True)[:10]:
print names[k], v