mylb.
还没有人认领这个 Issue。
评估
- 难度
- 1/5
- 预计耗时
- 1 小时以内
- 新手友好度
- 20/100
- Issue 类型
- 功能
- 描述清晰度
- 需要澄清
- 活跃度
- 活跃
- 技术栈
- dockerfile
调研方向
This issue asks users to describe their data sources and formats; it does not identify a code file, test, or implementation task. Start by checking the repository's issue templates and Model Builder contribution guidance to determine whether this is a request for user feedback. Done means the team has enough information about data locations, formats, and transformation needs to prioritize future support.
由索引模型根据 Issue 内容生成。
描述
Model Builder currently supports two data sources, local files (.csv and .tsv) and SQL tables. We understand your data is in many different places and shapes. We'd like to understand where your data comes from so we can better support your scenario in Model Builder.
Where is your data located?
A clear and concise description of where you data is. i.e. Local json file, Cosmos DB, [...]
What does your data look like?
A clear and concise description of what format your data is in. Is it tabular? Is it in JSON format?
Does your data require transformations?
A clear and concise description of the state of your data. Does it have many missing values? Is much of it irrelevant?
Example
If possible, a small example of your data (inline or attached file).
Additional context
Add any other context or information you'd like to give us.
- 主要语言
- Dockerfile
- 星标
- 288
- 派生
- 66
- PR 合并指标
- 30 天内没有已合并 PR
环境准备
这个项目没有提供开发容器、Dockerfile 或贡献指南，环境需要你自己搭建：先看它的 README，通用步骤见我们的新手贡献指南。
从这里开始
- 先读完整个 Issue，再读项目的贡献指南。
- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
dotnet/machinelearning-modelbuilder 的其他 Issue
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难度 4/5 1-2 天 新手友好度 22/100
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难度 5/5 一周以上 新手友好度 25/100
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dotnet/machinelearning-modelbuilder#3090 · 2 条评论 · 1 个 reaction ·
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难度 3/5 1-2 天 新手友好度 35/100
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难度 5/5 一周以上 新手友好度 10/100
查看 dotnet/machinelearning-modelbuilder 的全部 Issue
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