def _load_previously_built_split_and_attributes(self, save_folder_path):
"""
Loads all URM and ICM
:return:
"""
if self.use_validation_set:
validation_set_suffix = "use_validation_set"
else:
validation_set_suffix = "no_validation_set"
if self.allow_cold_users:
allow_cold_users_suffix = "allow_cold_users"
else:
allow_cold_users_suffix = "only_warm_users"
name_suffix = "_{}_{}".format(allow_cold_users_suffix, validation_set_suffix)
dataIO = DataIO(folder_path=save_folder_path)
split_parameters_dict = dataIO.load_data(file_name="split_parameters" + name_suffix)
for attrib_name in split_parameters_dict.keys():
self.__setattr__(attrib_name, split_parameters_dict[attrib_name])
self.SPLIT_GLOBAL_MAPPER_DICT = dataIO.load_data(file_name="split_mappers" + name_suffix)
self.SPLIT_URM_DICT = dataIO.load_data(file_name="split_URM" + name_suffix)
if len(self.dataReader_object.get_loaded_ICM_names()) > 0:
self.SPLIT_ICM_DICT = dataIO.load_data(file_name="split_ICM" + name_suffix)
self.SPLIT_ICM_MAPPER_DICT = dataIO.load_data(file_name="split_ICM_mappers" + name_suffix)
def _load_previously_built_split_and_attributes(self, save_folder_path):
"""
Loads all URM and ICM
:return:
"""
if self.allow_cold_users:
allow_cold_users_file_name = "allow_cold_users"
else:
allow_cold_users_file_name = "only_warm_users"
data_dict = pickle.load(
open(save_folder_path + "URM_{}_fold_split_{}".format(self.n_folds, allow_cold_users_file_name), "rb"))
for attrib_name in data_dict.keys():
self.__setattr__(attrib_name, data_dict[attrib_name])
for ICM_name in self.dataReader_object.get_loaded_ICM_names():
ICM_object = pickle.load(open(save_folder_path + "{}".format(ICM_name), "rb"))
self.__setattr__(ICM_name, ICM_object)
pickle.load(open(save_folder_path + "tokenToFeatureMapper_{}".format(ICM_name), "rb"))
self.__setattr__("tokenToFeatureMapper_{}".format(ICM_name), ICM_object)
# MAPPER MANAGING
if self.allow_cold_users:
allow_cold_users_suffix = "allow_cold_users"
else:
allow_cold_users_suffix = "only_warm_users"
name_suffix = "_{}".format(allow_cold_users_suffix)
dataIO = DataIO(folder_path=save_folder_path)
self.SPLIT_GLOBAL_MAPPER_DICT = dataIO.load_data(file_name="split_mappers" + name_suffix)
def _load_from_saved_sparse_matrix(self, save_folder_path):
"""
Loads all URM and ICM
:return:
"""
dataIO = DataIO(folder_path=save_folder_path)
self._LOADED_GLOBAL_MAPPER_DICT = dataIO.load_data(
file_name="dataset_global_mappers")
self._LOADED_URM_DICT = dataIO.load_data(file_name="dataset_URM")
if len(self.get_loaded_ICM_names()) > 0:
self._LOADED_ICM_DICT = dataIO.load_data(file_name="dataset_ICM")
self._LOADED_ICM_MAPPER_DICT = dataIO.load_data(
file_name="dataset_ICM_mappers")
def load_model(self, folder_path, file_name=None):
if file_name is None:
file_name = self.RECOMMENDER_NAME
self._print("Loading model from file '{}'".format(folder_path +
file_name))
dataIO = DataIO(folder_path=folder_path)
data_dict = dataIO.load_data(file_name=file_name)
for attrib_name in data_dict.keys():
self.__setattr__(attrib_name, data_dict[attrib_name])
self._print("Loading complete")
def _load_from_saved_sparse_matrix(self, save_folder_path):
"""
Loads all URM, ICM and UCM
:return:
"""
dataIO = DataIO(folder_path=save_folder_path)
self._LOADED_GLOBAL_MAPPER_DICT = dataIO.load_data(
file_name="dataset_global_mappers")
self._LOADED_URM_DICT = dataIO.load_data(file_name="dataset_URM")
if len(self.get_loaded_ICM_names()) > 0:
self._LOADED_ICM_DICT = dataIO.load_data(file_name="dataset_ICM")
self._LOADED_ICM_MAPPER_DICT = dataIO.load_data(
file_name="dataset_ICM_mappers")
if len(self.get_loaded_UCM_names()) > 0:
self._LOADED_UCM_DICT = dataIO.load_data(file_name="dataset_UCM")
self._LOADED_UCM_MAPPER_DICT = dataIO.load_data(
file_name="dataset_UCM_mappers")
print(
"RecSys2019Reader: WARNING --> There is no verification in the consistency of UCMs"
)