Introduction¶
The DSH ecosystem follows the “everything is a plugin” philosophy. Building a complete machine learning pipeline (from data preparation to training, evaluation, deployment, and monitoring) usually involves multiple steps and requires manual coordination. satan9394/dsh-mlops aims to provide a set of standardized workflow skills to simplify this process.
What Is This¶
satan9394/dsh-mlops is a DSH workflow plugin. It covers the data, training, evaluation, deployment, and monitoring stages of a machine learning pipeline.
This plugin was inspired by the wshobson/agents project. It is currently maintained by satan9394.
Core Features¶
Based on verified information, no specific feature list is currently provided.
Installation and Enablement¶
No specific installation command is provided officially.
Typical Usage¶
No specific usage example is provided officially.
Applicable Scenarios and Notes¶
The plugin runs with the permissions of the current DSH process.
Since the license information is empty, it is recommended to review the source code before installation to confirm that it meets your usage requirements.
Resource Links¶
- Plugin directory: https://www.skillhub.cn/plugins/satan9394/dsh-mlops
- GitHub repository: https://github.com/satan9394/dsh-mlops