def __init__(self):
self.conf = config_parser.ParseConfig()
self.data_set_loc = self.conf.config_section_mapper("filePath").get("data_set_loc")
self.data_extractor = data_extractor.DataExtractor(self.data_set_loc)
self.mlmovies = self.data_extractor.get_mlmovies_data()
self.mltags = self.data_extractor.get_mltags_data()
self.mlmovies = self.data_extractor.get_mlmovies_data()
self.mlratings = self.data_extractor.get_mlratings_data()
self.combined_data = self.get_combined_data()
self.util = Util()
self.reshuffle = False
def __init__(self, user_id):
self.user_id = user_id
self.conf = config_parser.ParseConfig()
self.data_set_loc = self.conf.config_section_mapper("filePath").get(
"data_set_loc")
self.data_extractor = data_extractor.DataExtractor(self.data_set_loc)
self.feedback_data = self.get_feedback_data()
self.util = Util()
self.movies_dict = {}
self.tag_dict = {}
self.movie_tag_matrix = self.get_movie_tag_matrix()
self.feedback_metadata_dict = {}
def __init__(self):
self.conf = config_parser.ParseConfig()
self.data_set_loc = self.conf.config_section_mapper("filePath").get(
"data_set_loc")
self.data_extractor = data_extractor.DataExtractor(self.data_set_loc)
self.util = Util()
self.movies_dict = {}
self.movie_tag_matrix = self.get_movie_tag_matrix()
self.task_3_input = self.data_extractor.get_lsh_details()
self.movieLSH = MovieLSH(self.task_3_input["num_layers"],
self.task_3_input["num_hashs"])
(self.query_df, self.query_vector) = self.fetch_query_vector_from_csv()
self.movieLSH.create_index_structure(self.task_3_input["movie_list"])
import config_parser
import extractor
conf = config_parser.ParseConfig()
class GenericTag(
object
): # Represents an abstract class to establish relationships between tags and entities (users/actors/genres).
def __init__(self, object_id):
self.object_id = object_id
self.data_set_location = conf.config_section_mapper("filePath").get(
"data_set_location")
self.data_extractor = extractor.DataExtractor(self.data_set_location)
def get_combined_data(self):
print "Obtain all relevant data with respect to this model"
def get_weighted_tags_for_model(self, model):
print "Obtain the weighted tags for the model passed as input"
def get_combined_data_for_object(self):
print "Obtain all relevant data with respect to this model and object"
def get_model_value(self, movie_id, tag_of_movie, model):
print "Obtain the row value for the parameters passed as input"