Enhancement Add CLI commands for browsing and searching OpenML flows (models)
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Aptitud para principiantes
- 48/100
- Tipo de issue
- Nueva funcionalidad
- Claridad
- Bastante claro
- Estado de actividad
- Estancado
- Stack tecnológico
- python
- Área
- cli, machine-learning
Línea de trabajo
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.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
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.
- Lenguaje dominante
- Python
- Estrellas
- 361
- Forks
- 296
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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