摘要: 加载模型及量化 from modelscope import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True) model = AutoModel 阅读全文
posted @ 2024-07-29 19:12 xxxyyyxxxok 阅读(33) 评论(0) 推荐(0)
摘要: import pandas as pd from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression,Ridge from sklearn.svm im 阅读全文
posted @ 2024-07-28 19:05 xxxyyyxxxok 阅读(94) 评论(0) 推荐(0)
摘要: import pandas as pd from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression,Ridge from sklearn.svm im 阅读全文
posted @ 2024-07-28 18:49 xxxyyyxxxok 阅读(7) 评论(0) 推荐(0)
摘要: 更改顺序 insert、pop df.insert(0,'a',df.pop('a')) 分组排序 df['班级Python成绩排名'] = df.groupby('班级')['Python成绩'].rank(method='min', ascending=False) 离散化 df['class' 阅读全文
posted @ 2024-07-28 17:29 xxxyyyxxxok 阅读(10) 评论(0) 推荐(0)
摘要: assign df.assign( col3=df["col2"].str.upper(), col4=df["col1"] * 3 / 4 + 25, col5=lambda x: x["col1"] / 2 + 10, col6=lambda x: x["col5"] * 5, # 在col6计 阅读全文
posted @ 2024-07-28 17:27 xxxyyyxxxok 阅读(31) 评论(0) 推荐(0)