def build_model(self,train_set):
i_model = None
if self.friends_data:
i_model = FriendsModel(train_set, self.friends_data)
else:
i_model = Model(train_set)
return i_model
def create_model():
raw_data = get_user_item_matrix()
friend_data = get_friends_data()
i_model = FriendsModel(raw_data, friend_data)
return i_model
def get_similarity_matrix(data_set, friend_data):
i_model = FriendsModel(data_set, friend_data)
similarity = CosineSimilarity(i_model)
return similarity
def build_model(self,train_set):
i_model = FriendsModel(train_set, self.friends_data)
return i_model
import sys
sys.path.append("./src")
from similarities import CosineSimilarity, JaccardSimilarity
from dataset import get_friends_data, get_user_item_matrix
from models.friendsmodel import FriendsModel
#import matplotlib.pyplot as plt
from pylab import *
if __name__ == '__main__':
raw_data = get_user_item_matrix()
friend_data = get_friends_data()
i_model = FriendsModel(raw_data, friend_data)
data = i_model.get_data_matrix()
figure(1)
imshow(data,interpolation='bilinear')
grid(True)
show()
import sys
sys.path.append("./src")
from similarities import CosineSimilarity, JaccardSimilarity
from dataset import get_friends_data, get_user_item_matrix
from models.friendsmodel import FriendsModel
#import matplotlib.pyplot as plt
from pylab import *
if __name__ == '__main__':
raw_data = get_user_item_matrix()
friend_data = get_friends_data()
i_model = FriendsModel(raw_data, friend_data)
data = i_model.get_data_matrix()
figure(1)
imshow(data, interpolation='bilinear')
grid(True)
show()