def evaluate_test_results(my_results):
solutions_dict = get_test_solutions()
scores = []
for uid, l in my_results.items():
score = apk(solutions_dict[uid], l)
scores.append(score)
return sum(scores) / len(scores)
def evaluate_test_results(my_results):
solutions_dict = get_test_solutions()
scores = []
for uid, l in my_results.iteritems():
score = apk(solutions_dict[uid], l)
scores.append(score)
return sum(scores) / len(scores)
def run_crossval(self):
splits = self.get_crossval_data()
print("length of splits " + str(len(splits)))
print("length of splits of 0 " + str(len(splits[0])))
print("length of splits of 0 of 0 : " + str(len(splits[0][0])))
results = []
for i in range(2):
s = splits[i]
other_s = splits[1 - i]
z = [True] * len(s[0])
w = [True] * len(s[0])
print(len(z))
remove_features_rfc = [19, 20]
remove_features_lr = [
19, 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32
]
for i in remove_features_rfc:
z[i] = False
for i in remove_features_lr:
w[i] = False
m1 = Model(compress=z, has_none=w)
m1.fit(s[0], s[1])
X = other_s[0]
predictions = m1.test(X)
keys = other_s[4]
pred_dict = {}
for j in xrange(len(keys)):
uid, eid = keys[j]
if uid not in pred_dict:
pred_dict[uid] = []
pred_dict[uid].append((eid, predictions[j]))
for uid, l in pred_dict.items():
l.sort(key=lambda x: -x[1])
l = [e[0] for e in l]
results.append(apk(other_s[3][uid], l))
print("done running cross val")
def run_crossval():
splits = get_crossval_data()
results = []
for i in range(2):
s = splits[i]
other_s = splits[1 - i]
z = [True] * len(s[0][0])
w = [True] * len(s[0][0])
remove_features_rfc = [19,20]
remove_features_lr = [19,20,21,22,23,24,25,26,29,30,31,32]
for i in remove_features_rfc:
z[i] = False
for i in remove_features_lr:
w[i] = False
m1 = Model(compress=z, has_none=w)
m1.fit(s[0], s[1])
X = other_s[0]
predictions = m1.test(X)
keys = other_s[4]
pred_dict = {}
for j in xrange(len(keys)):
uid, eid = keys[j]
if uid not in pred_dict:
pred_dict[uid] = []
pred_dict[uid].append((eid, predictions[j]))
for uid, l in pred_dict.iteritems():
l.sort(key=lambda x: -x[1])
l = [e[0] for e in l]
results.append(apk(other_s[3][uid], l))
print sum(results) / len(results)
