def __init__(self):
config_loader = Config_loader('config.ini')
self.config = config_loader.load_config()
reverse_index_builder = Reverse_index_builder(
ponderation_method=self.config['Reverse_index']['ponderation'],
index_type=self.config['Reverse_index']['index_type'],
save_folder_path=self.config['Reverse_index']['save_folder_path'])
self.reverse_index = reverse_index_builder.create_reverse_index(
'sources/cacm.all', 'sources/common_words')
self._lauch_engine()
def __init__(self):
config_loader = Config_loader('config.ini')
self.config = config_loader.load_config()
reverse_index_builder = Reverse_index_builder(
ponderation_method=self.config['Reverse_index']['ponderation'],
index_type=self.config['Reverse_index']['index_type'],
save_folder_path=self.config['Reverse_index']['save_folder_path']
)
self.reverse_index = reverse_index_builder.create_reverse_index('sources/cacm.all', 'sources/common_words')
self._lauch_engine()
def __init__(self, queries_filename, answers_filename):
config_loader = Config_loader('config.ini')
self.config = config_loader.load_config()
self.queries_filename = queries_filename
self.answers_filename = answers_filename
self.ponderation_method = self.config['Reverse_index']['ponderation']
self.beta = self.config['Measures']['beta']
self.alpha = 1. / (1 + self.beta ** 2)
if self.config['Research_engine']['type'] == 'vectorial':
self.similarity_method = self.config['Vectorial_search']['similarity']
elif self.config['Research_engine']['type'] == 'boolean':
self.p_norm = self.config['Boolean_search']['p_norm']
self.default_similarity = self.config['Boolean_search']['default_similarity']
elif self.config['Research_engine']['type'] == 'probabilistic':
self.rsv_relevant_method = self.config['Probabilistic_search']['rsv_relevant_method']
self.lines = []
