gaoyunhaii commented on pull request #5:
URL: https://github.com/apache/flink-ml/pull/5#issuecomment-950339981


   Very thanks @guoweiM for the review! I updated the PR to fix the inline 
comments.
   
   Regarding the style of the api: during the discussion we indeed have another 
possible option: use a kind of mini-batch style api to model the offline 
training and online training in a unify style. However, we found that even in 
this way users could not write one program to fit both offline and online 
easily. This comes from the fact that the offline and corresponding online 
algorithms usually not the same. Thus we tend to provide the different 
interface for the offline and online scenarios.
   
   Although we provide the dedicated API for the different types of the 
scenarios, they are still build on the same model of progress tracking, and 
shares almost all the implementations. 


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