def create_stan_data(self, n_users, pct_items, err_rates, difficulty_dict): self.err_rates = err_rates self.difficulty_dict = difficulty_dict self.sim_df = simulation.create_sim_df(create_user_data, self.df, n_users, pct_items, err_rates, difficulty_dict, extraarg=self.parsers) stan_data = utils.calc_distances(self.sim_df, (lambda x,y: 1 - evalb(x, y)), label_colname="parse", item_colname="sentenceId") return stan_data
def create_stan_data(self, n_users, pct_items, err_rates, difficulty_dict): self.err_rates = err_rates self.difficulty_dict = difficulty_dict self.sim_df = simulation.create_sim_df(create_user_data, self.df, n_users, pct_items, err_rates, difficulty_dict) stan_data = utils.calc_distances( self.sim_df, (lambda x, y: 1 - kendaltauscore(x, y)), label_colname="rankings", item_colname="topic_item") return stan_data
def create_stan_data(self, n_users, pct_items, err_rates, difficulty_dict): self.err_rates = err_rates self.difficulty_dict = difficulty_dict self.sim_df = simulation.create_sim_df(create_user_data, self.df, n_users, pct_items, err_rates, difficulty_dict) stan_data = utils.calc_distances( self.sim_df, (lambda x, y: 1 - oks_score_multi(x, y)), label_colname="annotation", item_colname="item") return stan_data
def produce_stan_data(self): self.stan_data = utils.calc_distances(self.annodf, self.distance_fn, label_colname=self.label_colname, item_colname=self.item_colname, uid_colname=self.uid_colname)
def produce_stan_data(self): ''' use distance function to create distance matrices and other data in its final form before training ''' self.stan_data = utils.calc_distances(self.annodf, self.distance_fn, label_colname=self.label_colname, item_colname=self.item_colname, uid_colname=self.uid_colname)
def create_stan_data(self, n_users, pct_items, err_rates, difficulty_dict): self.err_rates = err_rates self.difficulty_dict = difficulty_dict self.sim_df = simulation.create_sim_df(create_user_data, self.df, n_users, pct_items, err_rates, difficulty_dict) stan_data = utils.calc_distances(self.sim_df, (lambda x,y: 1 - bb_intersection_over_union(x, y))) return stan_data