kz930 opened a new issue, #8420:
URL: https://github.com/apache/texera/issues/8420

   ### Task Summary
   
   The four advanced trainers implement `StandaloneCodeGenerator`. Each reads 
its hyperparameters from a table the user fills in rather than from fields of 
its own, so the script has to resolve, for every row, which parameter was 
chosen and what converter its value passes through before it reaches the 
estimator.
   
   `JsonSchemaCustomizer` and its caller in `OperatorMetadataGenerator` come 
along because these four implement it. The rules a hyperparameter's value 
follows, the set it may take and the bound it must respect, are written into 
the schema at generation time, and without the call the schema carries none of 
them.
   
   The KNN, SVC and SVR parameter tables gain the accepted values and the 
bounds each parameter actually admits, read from scikit-learn's own constraints 
rather than from recall.
   
   Fourteenth of the twenty-one steps listed in #8325. It needs #8327 for the 
trait. The label column offered as one of its own inputs is filed separately as 
#8010 and closes with this work; #7979, #7952 and #7936 are part-of, since each 
is only fixed once the panel half in the editor step lands too.
   


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