zhongjiajie commented on code in PR #10217: URL: https://github.com/apache/dolphinscheduler/pull/10217#discussion_r882261398
########## docs/docs/en/guide/task/mlflow.md: ########## @@ -92,71 +95,65 @@ First, introduce some general parameters of DolphinScheduler **Task Parameter** -- **mlflow server tracking uri** ：MLflow server uri, default http://localhost:5000. -- **experiment name** ：Create the experiment where the task is running, if the experiment does not exist. If the name is empty, it is set to ` Default `, the same as MLflow. -- **register model** ：Register the model or not. If register is selected, the following parameters are expanded. - - **model name** : The registered model name is added to the original model version and registered as +- **Register Model**: Register the model or not. If register is selected, the following parameters are expanded. + - **model name**: The registered model name is added to the original model version and registered as Production. -- **data path** : The absolute path of the file or folder. Ends with .csv for file or contain train.csv and - test.csv for folder（In the suggested way, users should build their own test sets for model evaluation）。 -- **parameters** : Parameter when initializing the algorithm/AutoML model, which can be empty. For example - parameters `n_estimators=200;learning_rate=0.2` for flaml 。The convention will be passed with '; 'shards +- **Data Path**: The absolute path of the file or folder. Ends with .csv for file or contain train.csv and + test.csv for folder(In the suggested way, users should build their own test sets for model evaluation). +- **Parameters**: Parameter when initializing the algorithm/AutoML model, which can be empty. For example + parameters `n_estimators=200;learning_rate=0.2` for flaml. The convention will be passed with '; 'shards each parameter, using the name before the equal sign as the parameter name, and using the name after the equal sign to get the corresponding parameter value through `python eval()`. The detailed parameter list is as follows: - [flaml](https://microsoft.github.io/FLAML/docs/reference/automl#automl-objects) - [autosklearn](https://automl.github.io/auto-sklearn/master/api.html) -- **AutoML tool** : The AutoML tool used, currently +- **AutoML tool**: The AutoML tool used, currently supports [autosklearn](https://github.com/automl/auto-sklearn) - and [flaml](https://github.com/microsoft/FLAML) + and [flaml](https://github.com/microsoft/FLAML). Review Comment: remove unused blank line? ########## docs/docs/en/guide/task/mlflow.md: ########## @@ -92,71 +95,65 @@ First, introduce some general parameters of DolphinScheduler **Task Parameter** -- **mlflow server tracking uri** ：MLflow server uri, default http://localhost:5000. -- **experiment name** ：Create the experiment where the task is running, if the experiment does not exist. If the name is empty, it is set to ` Default `, the same as MLflow. -- **register model** ：Register the model or not. If register is selected, the following parameters are expanded. - - **model name** : The registered model name is added to the original model version and registered as +- **Register Model**: Register the model or not. If register is selected, the following parameters are expanded. + - **model name**: The registered model name is added to the original model version and registered as Production. -- **data path** : The absolute path of the file or folder. Ends with .csv for file or contain train.csv and - test.csv for folder（In the suggested way, users should build their own test sets for model evaluation）。 -- **parameters** : Parameter when initializing the algorithm/AutoML model, which can be empty. For example - parameters `n_estimators=200;learning_rate=0.2` for flaml 。The convention will be passed with '; 'shards +- **Data Path**: The absolute path of the file or folder. Ends with .csv for file or contain train.csv and + test.csv for folder(In the suggested way, users should build their own test sets for model evaluation). +- **Parameters**: Parameter when initializing the algorithm/AutoML model, which can be empty. For example + parameters `n_estimators=200;learning_rate=0.2` for flaml. The convention will be passed with '; 'shards each parameter, using the name before the equal sign as the parameter name, and using the name after the equal sign to get the corresponding parameter value through `python eval()`. The detailed parameter list is as follows: - [flaml](https://microsoft.github.io/FLAML/docs/reference/automl#automl-objects) - [autosklearn](https://automl.github.io/auto-sklearn/master/api.html) -- **AutoML tool** : The AutoML tool used, currently +- **AutoML tool**: The AutoML tool used, currently supports [autosklearn](https://github.com/automl/auto-sklearn) - and [flaml](https://github.com/microsoft/FLAML) + and [flaml](https://github.com/microsoft/FLAML). Review Comment: remove unused blank line -- 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]
