jieguangzhou commented on code in PR #10150: URL: https://github.com/apache/dolphinscheduler/pull/10150#discussion_r877884703
########## docs/docs/en/guide/task/mlflow.md: ########## @@ -5,77 +5,140 @@ [MLflow](https://mlflow.org) is an excellent open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. -Mlflow task is used to perform mlflow project tasks, which include basic algorithmic and autoML capabilities ( -User-defined MLFlow project task execution will be supported in the near future) +MLflow task plugin used to execute MLflow tasks，Currently contains Mlflow Projects and MLflow Models.（Model Registry will soon be rewarded for support） + +- Mlflow Projects: Package data science code in a format to reproduce runs on any platform. +- MLflow Models: Deploy machine learning models in diverse serving environments. +- Model Registry: Store, annotate, discover, and manage models in a central repository. + +The Mlflow plugin currently supports and will support the following: + +- [ ] MLflow Projects + - [x] BasicAlgorithm: contains lr, svm, lightgbm, xgboost + - [x] AutoML: AutoML tool，contains autosklean, flaml + - [ ] Custom projects: Support for running your own MLflow projects +- [ ] MLflow Models + - [x] MLFLOW: Use `MLflow models serve` to deploy a model service + - [x] Docker: Run the container after packaging the docker image + - [ ] Docker Compose: Use docker compose to run the container, Will replace the docker run above + - [ ] Seldon core: Use Selcon core to deploy model to k8s cluster + - [ ] k8s: Deploy containers directly to K8S + - [ ] mlflow deployments: Built-in deployment modules, such as built-in deployment to SageMaker, etc +- [ ] Model Registry + - [ ] Register Model: Allows artifacts (Including model and related parameters, indicators) to be registered directly into the model center Review Comment: I think a list of future supported components is not only shown for developers but users. This can attract users by showing them future features. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
