[GitHub] [dolphinscheduler] jieguangzhou commented on issue #9725: [Discussion][Machine Learning] Support AI task and the open source project about MLops

[GitBox]

jieguangzhou commented on issue #9725:
URL: 
https://github.com/apache/dolphinscheduler/issues/9725#issuecomment-1108445809

   I add the GridSearch feature to the example like this. That we can search 
for the best parameters of a model.
   
   <img width="491" alt="image" 
src="https://user-images.githubusercontent.com/31528124/165078096-54543d05-36db-425f-b988-745af105db03.png";>
   
   After the model was trained, we also can see the parameter search report on 
the MLflow dashboard like this
   
   <img width="2317" alt="image" 
src="https://user-images.githubusercontent.com/31528124/165079578-d23a2098-8df3-44e0-9863-fb73499f79c0.png";>
   
   
   The  value of key "search_params" above is "max_depth=[5, 
10];n_estimators=[100, 200]" for lightgbm.
   
   We also can search more params, all of the params we can see In API of  the 
algorithm, for example:
   svm: "kernel=['linear', 'poly', 'rbf'];C=[0.5, 1.0]" ;
   lr: "penalty=['l1', 'l2'];C=[0.5, 1.0]" ;
   xgboost: max_depth=[5, 10];n_estimators=[100, 200]
   
   


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