[GitHub] [spark] huaxingao opened a new pull request #26142: [SPARK-29381][FOLLOWUP][PYTHON][ML] Add 'private' _XXXParams classes for classification & regression

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

huaxingao opened a new pull request #26142: [SPARK-29381][FOLLOWUP][PYTHON][ML] Add 'private' _XXXParams classes for classification & regression
URL: https://github.com/apache/spark/pull/26142
 
 
   ### What changes were proposed in this pull request?
   Add private _XXXParams classes for classification & regression
   
   
   ### Why are the changes needed?
   To keep parity between scala and python
   
   
   ### Does this PR introduce any user-facing change?
   Yes. Add gettters/setters for the following Model classes
   
   ```
   LinearSVCModel:
   get/setRegParam
   get/setMaxIte
   get/setFitIntercept
   get/setTol
   get/setStandardization
   get/setWeightCol
   get/setAggregationDepth
   get/setThreshold
   
   LogisticRegressionModel:
   get/setRegParam
   get/setElasticNetParam
   get/setMaxIter
   get/setFitIntercept
   get/setTol
   get/setStandardization
   get/setWeightCol
   get/setAggregationDepth
   get/setThreshold
   
   NaiveBayesModel:
   get/setWeightCol
   
   LinearRegressionModel:
   get/setRegParam
   get/setElasticNetParam
   get/setMaxIter
   get/setTol
   get/setFitIntercept
   get/setStandardization
   get/setWeight
   get/setSolver
   get/setAggregationDepth
   get/setLoss
   
   GeneralizedLinearRegressionModel:
   get/setFitIntercept
   get/setMaxIter
   get/setTol
   get/setRegParam
   get/setWeightCol
   get/setSolver
   ```
   
   ### How was this patch tested?
   Add a few doctest
   

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