数据预处理之后，将数据保存到文件中时报错：找不到文件名，如何解决？

关注 码龄 粉丝数 原力等级 -- 被采纳 被点赞 采纳率 IT入门小白 2024-06-17 20:17 采纳率: 28.9% 浏览 4 首页/ 编程语言 / 数据预处理之后，将数据保存到文件中时报错：找不到文件名，如何解决？ python开发语言知识图谱 数据预处理之后，将数据保存到文件中时报错：找不到文件名。代码如下： from data_loader import load_kg, load_ratings, data_split, get_records from tqdm import tqdm import numpy as np def get_ripple_set(train_dict, kg_dict, H, size): np.random.seed(255) ripple_set_dict = {user: [] for user in train_dict} for u in tqdm(train_dict): next_e_list = train_dict[u] replace = len(train_dict[u]) < size indices = np.random.choice(len(train_dict[u]), size, replace=replace) ripple_set_dict[u].append([train_dict[u][i] for i in indices]) for h in range(H): h_head_list = [] h_relation_list = [] h_tail_list = [] for head in next_e_list: if head not in kg_dict: continue for rt in kg_dict[head]: relation = rt[0] tail = rt[1] h_head_list.append(head) h_relation_list.append(relation) h_tail_list.append(tail) if len(h_head_list) == 0: h_head_list = ripple_set_dict[u][-1][0] h_relation_list = ripple_set_dict[u][-1][1] h_tail_list = ripple_set_dict[u][-1][0] else: replace = len(h_head_list) < size indices = np.random.choice(len(h_head_list), size, replace=replace) h_head_list = [h_head_list[i] for i in indices] h_relation_list = [h_relation_list[i] for i in indices] h_tail_list = [h_tail_list[i] for i in indices] ripple_set_dict[u].append((h_head_list, h_relation_list, h_tail_list)) next_e_list = ripple_set_dict[u][-1][2] return ripple_set_dict def get_item_record(item_set, train_records): ripple_sets = dict() for item in item_set: item_ripple_set = {item} for items in train_records.values(): if item in items: item_ripple_set.update(items) ripple_sets[item] = list(item_ripple_set) return ripple_sets def process(data_set_name): data_dir = '../data/' + data_set_name + '/' ratings = load_ratings(data_dir) item_set = set([i[1] for i in ratings]) train_set, eval_set, test_set = data_split(ratings) user_history_dict = get_records(train_set) all_records = user_history_dict.copy() all_records.update(get_item_record(item_set, user_history_dict)) kg_dict, _, _ = load_kg(data_dir) for i in range(1, 7): ripple_set_dict = get_ripple_set(all_records, kg_dict, 4, 2**i) np.save(file='./data/'+data_set_name+'/'+str(2**i) + '_ripple_set_dict.npy', arr=ripple_set_dict) if __name__ == '__main__': # process('job') # process('music') # process('book') # process('ml') process('movie') process('yelp') 报错截图如下：请大家帮忙解答一下，感谢！ 展开全部 收起 写回答 好问题 0 提建议 追加酬金 关注问题 微信扫一扫 点击复制链接 分享 邀请回答 编辑 收藏 删除 结题 收藏 举报 追加酬金 (90%的用户在追加酬金后获得了解决方案) 当前问题酬金 ¥ 0 (可追加 ¥500） ¥ 15¥ 20¥ 50¥ 100¥ 200 支付方式 扫码支付 二维码出错 点击刷新 支付金额 15 元 提供问题酬金的用户不参与问题酬金结算和分配 支付即为同意 《付费问题酬金结算规则》 结题 再想想 删除 再等等