LightGBM doesnt have hyper-parameters as attributes in the java object

Is your feature request related to a problem? Please describe.
Currently it seems the hyper-parameters of LightGBM models do not exist as attributes in the java object.
When I fit a model

lightgbm_classif = LightGBMClassifier(
featuresCol='features', 
isUnbalance=True, 
labelCol='label',  
)
lgbm_model = lightgbm_classif.fit(train_data)

When I retrieve the java obj and try to get learningRate

lgbm_java = lgbm_model._java_obj
lgbm_java.getParam("learningRate")

Got error:
java.util.NoSuchElementException: Param learningRate does not exist.

Describe the solution you'd like
I think it would be helpful to attach the hyper-parameters as attribute to the model object. I think after hyper-parameter tuning we would like to get the best set of hyper-parameters. Currently for LightGBM models, either doing thru the CrossValidator or TuneHyperparameters, I can't extract best set of parameters for LightGBM models.

Additional context
N/A