OneVsRest and OneVsRestModel _from_java and _to_java should handle weightCol

from pyspark.ml.classification import LogisticRegression, OneVsRest, OneVsRestModel
from pyspark.ml.linalg import DenseVector

df = spark.createDataFrame([(0, 1, DenseVector([1.0, 0.0])), (0, 1, DenseVector([1.0, 0.0]))], ("label", "w", "features"))

ovr = OneVsRest(classifier=LogisticRegression()).setWeightCol("w")
ovrm = ovr.fit(df)
ovr.getWeightCol()
## 'w'
ovrm.getWeightCol()
## 'w'

ovr.write().overwrite().save("/tmp/ovr")
ovr_ = OneVsRest.load("/tmp/ovr")
ovr_.getWeightCol()
## KeyError   
## ...
## KeyError: Param(parent='OneVsRest_5145d56b6bd1', name='weightCol', doc='weight column name. ...)

ovrm.write().overwrite().save("/tmp/ovrm")
ovrm_ = OneVsRestModel.load("/tmp/ovrm")
ovrm_ .getWeightCol()
## KeyError   
## ...
## KeyError: Param(parent='OneVsRestModel_598c6d900fad', name='weightCol', doc='weight column name ...