[GitHub] [dolphinscheduler] EricGao888 commented on a diff in pull request #11905: [Doc][Task Plugin] Fix MLflow task plugin doc

[GitBox <gi...@apache.org>]

EricGao888 commented on code in PR #11905:
URL: https://github.com/apache/dolphinscheduler/pull/11905#discussion_r969242835


##########
docs/docs/en/guide/task/mlflow.md:
##########
@@ -13,19 +13,14 @@ MLflow task plugin used to execute MLflow tasks，Currently contains MLflow Proj
 
 The MLflow plugin currently supports and will support the following:
 
-- [x] MLflow Projects
-    - [x] BasicAlgorithm: contains LogisticRegression, svm, lightgbm, xgboost
-    - [x] AutoML: AutoML tool，contains autosklean, flaml
-    - [x] 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
-    - [x] Docker Compose: Use docker compose to run the container, it 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
+- MLflow Projects
+    - BasicAlgorithm: contains LogisticRegression, svm, lightgbm, xgboost
+    - AutoML: AutoML tool，contains autosklean, flaml

Review Comment:
   ```suggestion
       - AutoML: AutoML tool, contains autosklean, flaml
   ```



##########
docs/docs/zh/guide/task/mlflow.md:
##########
@@ -12,19 +12,14 @@ MLflow 组件用于执行 MLflow 任务，目前包含Mlflow Projects, 和MLflow
 
 目前 Mlflow 组件支持的和即将支持的内容如下中：
 
-- [x] MLflow Projects
-  - [x] BasicAlgorithm: 基础算法，包含LogisticRegression, svm, lightgbm, xgboost
-  - [x] AutoML: AutoML工具，包含autosklean, flaml
-  - [x] Custom projects: 支持运行自己的MLflow Projects项目
-- [ ] MLflow Models
-  - [x] MLFLOW: 直接使用 `mlflow models serve` 部署模型。
-  - [x] Docker: 打包 DOCKER 镜像后部署模型。
-  - [x] Docker Compose: 使用Docker Compose 部署模型，将会取代上面的Docker部署。
-  - [ ] Seldon core: 构建完镜像后，使用Seldon Core 部署到k8s集群上, 可以使用Seldon Core的生成模型管理能力。
-  - [ ] k8s: 构建完镜像后， 部署到k8s集群上。
-  - [ ] MLflow deployments: 内置的允许MLflow 部署模块, 如内置的部署到Sagemaker等。
-- [ ] Model Registry
-  - [ ] Register Model: 注册相关工件(模型以及相关的参数，指标)到模型中心
+- MLflow Projects
+  - BasicAlgorithm: 基础算法，包含LogisticRegression, svm, lightgbm, xgboost

Review Comment:
   ```suggestion
     - BasicAlgorithm: 基础算法，包含LogisticRegression，svm，lightgbm，xgboost
   ```



##########
docs/docs/zh/guide/task/mlflow.md:
##########
@@ -12,19 +12,14 @@ MLflow 组件用于执行 MLflow 任务，目前包含Mlflow Projects, 和MLflow
 
 目前 Mlflow 组件支持的和即将支持的内容如下中：
 
-- [x] MLflow Projects
-  - [x] BasicAlgorithm: 基础算法，包含LogisticRegression, svm, lightgbm, xgboost
-  - [x] AutoML: AutoML工具，包含autosklean, flaml
-  - [x] Custom projects: 支持运行自己的MLflow Projects项目
-- [ ] MLflow Models
-  - [x] MLFLOW: 直接使用 `mlflow models serve` 部署模型。
-  - [x] Docker: 打包 DOCKER 镜像后部署模型。
-  - [x] Docker Compose: 使用Docker Compose 部署模型，将会取代上面的Docker部署。
-  - [ ] Seldon core: 构建完镜像后，使用Seldon Core 部署到k8s集群上, 可以使用Seldon Core的生成模型管理能力。
-  - [ ] k8s: 构建完镜像后， 部署到k8s集群上。
-  - [ ] MLflow deployments: 内置的允许MLflow 部署模块, 如内置的部署到Sagemaker等。
-- [ ] Model Registry
-  - [ ] Register Model: 注册相关工件(模型以及相关的参数，指标)到模型中心
+- MLflow Projects
+  - BasicAlgorithm: 基础算法，包含LogisticRegression, svm, lightgbm, xgboost
+  - AutoML: AutoML工具，包含autosklean, flaml

Review Comment:
   ```suggestion
     - AutoML: AutoML工具，包含autosklean，flaml
   ```



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