本文整理汇总了Python中recsys.algorithm.factorize.SVD.load_model方法的典型用法代码示例。如果您正苦于以下问题：Python SVD.load_model方法的具体用法？Python SVD.load_model怎么用？Python SVD.load_model使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类recsys.algorithm.factorize.SVD的用法示例。
在下文中一共展示了SVD.load_model方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_classifier
# 需要导入模块: from recsys.algorithm.factorize import SVD [as 别名]
# 或者: from recsys.algorithm.factorize.SVD import load_model [as 别名]
def test_classifier(model, filename=None, itemkey="track", selector="SELECT * FROM train"):
conn = sqlite3.connect("db.sqlite")
conn.row_factory = dict_factory
cur = conn.cursor()
s = 0
c = 0
t_p = 0
for i in range(0,10):
svd = SVD()
if filename is not None:
svd.load_model(filename)
l = list(cur.execute(selector))
random.shuffle(l)
count = len(l)
svd.set_data([(x["rating"],x["track"],x["user"]) for x in l[0:int(count*0.7)]])
K = 1000
svd.compute(k=K, min_values=0.0, pre_normalize=None, mean_center=True, post_normalize=True)
pairs = []
for idx,item in enumerate(l[int(count*0.7):]):
user = item["user"]
track = item[itemkey]
pairs.append((predict_item(svd, track,user), item["rating"]))
t_p += len(pairs)
s += RMSE(pairs).compute()
c += 1.0
print "iteration"
print s/c, t_p示例2: getSimilarityMatrix
# 需要导入模块: from recsys.algorithm.factorize import SVD [as 别名]
# 或者: from recsys.algorithm.factorize.SVD import load_model [as 别名]
def getSimilarityMatrix(svd_model_file):
""" Returns similarity matrix from svd_model_file
"""
#Import SVD from file
svd=SVD()
svd.load_model(svd_model_file)
return svd.get_matrix_similarity()示例3: test_load_model
# 需要导入模块: from recsys.algorithm.factorize import SVD [as 别名]
# 或者: from recsys.algorithm.factorize.SVD import load_model [as 别名]
def test_load_model():
svd2 = SVD()
svd2.load_model(os.path.join(MOVIELENS_DATA_PATH, 'SVD_matrix'))
recs_svd = svd.recommend(USERID1, NUM_SIMILARS, is_row=False)
recs_svd2 = svd2.recommend(USERID1, NUM_SIMILARS, is_row=False)
assert_equal(recs_svd, recs_svd2)示例4: load_svd
# 需要导入模块: from recsys.algorithm.factorize import SVD [as 别名]
# 或者: from recsys.algorithm.factorize.SVD import load_model [as 别名]
def load_svd(filename):
svd = SVD()
svd.load_model(filename)
return svd