Enhancement Add CLI commands for browsing and searching OpenML flows (models)
还没有人认领这个 Issue。
评估
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 新手友好度
- 48/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 停滞
- 技术栈
- python
- 领域
- cli, machine-learning
调研方向
Start at the existing openml configure CLI entry point and inspect how the proposed openml models subcommands should fit alongside it. Reuse the mentioned openml.flows.list_flows() and openml.flows.get_flow() entry points; done means listing with filters and pagination, name search, and flow details work for the examples in the issue.
由索引模型根据 Issue 内容生成。
描述
Description
Currently, users can only browse and search OpenML flows (models) through the Python API...... This requires writing Python code even for simple tasks like listing available models or searching for a specific model.... adding cli commands would significantly improve the user experience and make the model catalogue more accessible.
Proposed Solution
Add three new CLI subcommands under openml models:
openml models list- List flows with filtering options (tag, uploader, pagination)openml models info <flow_id>- Display detailed information about a specific flowopenml models search <query>- Search flows by name
Expected Results
Users should be able to:
- Browse available models from the command line without writing Python code
- Search for models by name
- Get detailed information about specific models
- Filter models by tags, uploader etc.......
Use Cases
List first 10 models
openml models list --size 10
Search for RandomForest models
openml models search RandomForest
Get detailed info about a model
openml models info 12345
List models with a specific tag
openml models list --tag sklearn#### Additional Context
This would complement the existing openml configure CLI command and improve accessibility of the OpenML model catalogue. The implementation would use existing openml.flows.list_flows() and openml.flows.get_flow() functions, so no changes to core API are needed.
- 主要语言
- Python
- 星标
- 361
- 派生
- 296
- PR 合并指标
- 30 天内没有已合并 PR
贡献指南
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- 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。
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