import os import pandas as pd def get_data(data_root="./data"): dtrain = pd.read_csv(os.path.join(data_root, "train.csv")) dtest = pd.read_csv(os.path.join(data_root, "test.csv")) # returned X(DataFrame), y(Series) return ( dtrain[["discourse_text", "discourse_type"]], dtrain["discourse_effectiveness"], dtest[["discourse_text", "discourse_type"]], dtest["discourse_effectiveness"], )
基于学件范式,全流程地支持学件上传、检测、组织、查搜、部署和复用等功能。同时,该仓库作为北冥坞系统的引擎,支撑北冥坞系统的核心功能。