def run_train(cls, pkgs_classifications):
bag_of_words = BagOfWords()
pkgs_list = pkgs_classifications.keys()
axi = xapian.Database(XAPIAN_DATABASE_PATH)
bag_of_words.train_model(pkgs_list, axi)
BagOfWords.save(bag_of_words, BagOfWords.BAG_OF_WORDS_MODEL)
def get_model(self, cross_item_score):
super(CrossValidationBOW, self).get_model(cross_item_score)
pkgs_list = cross_item_score.keys()
bag_of_words = BagOfWords()
bag_of_words.train_model(pkgs_list, self.axi, save_files=False)
return bag_of_words
def get_model(self, cross_item_score):
super(CrossValidationBOW, self).get_model(cross_item_score)
pkgs_list = cross_item_score.keys()
bag_of_words = BagOfWords()
bag_of_words.train_model(pkgs_list, self.axi, save_files=False)
return bag_of_words
def run_train(cls, pkgs_classifications):
bag_of_words = BagOfWords()
pkgs_list = pkgs_classifications.keys()
axi = xapian.Database(XAPIAN_DATABASE_PATH)
bag_of_words.train_model(pkgs_list, axi)
BagOfWords.save(bag_of_words, BagOfWords.BAG_OF_WORDS_MODEL)
def get_ml_strategy(self):
return BagOfWords.load(
BagOfWords.BAG_OF_WORDS_MODEL)
def get_ml_strategy(self):
return BagOfWords.load(
BagOfWords.BAG_OF_WORDS_MODEL)
