dataset数据集
时间: 2023-09-18 14:08:43 浏览: 85
dataset数据集是在机器学习中用于模型训练和测试的数据集。在Python中,我们可以使用torch.utils.data.Dataset来加载和处理数据集。对于一些特定的数据集,比如fetch_20newsgroups,我们可以使用sklearn.datasets模块中的fetch_20newsgroups函数来下载和加载数据。此外,scikit-learn库还提供了很多内置的数据集,可以用于机器学习的练习。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [PyTorch深度学习(1)Dataset数据集](https://blog.csdn.net/jiangyangll/article/details/120688474)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [机器学习练习数据哪里找?两行代码搞定!](https://blog.csdn.net/qq_39241986/article/details/102855490)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]