> For the complete documentation index, see [llms.txt](https://deeplearning4j.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec.md).

# DATAVEC

- [概述](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/gai-shu.md): DL4J向量化和ETL库概述。
- [记录](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/ji-lu.md): 在DataVec中如何使用数据记录
- [概要](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/gai-yao.md): 数据集和转换概要
- [序列化](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/xu-lie-hua.md): 从一个概要到另一个概要的数据整理和映射。
- [转换](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/zhuan-huan.md)
- [分析](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/fen-xi.md): 收集数据集的统计信息。
- [读取器](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/du-qu-qi.md): 阅读不同格式的单独记录。
- [执行器](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/zhi-hang-qi.md): 在本地实例中执行ETL和向量化。
- [过滤器](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/guo-lv-qi.md): 数据使用条件的选择。
- [运算](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/datavec/yun-suan.md): 高级转换的实现。


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