old_contents: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You under the Apache License, Version 2.0
  # (the "License"); you may not use this file except in compliance with
  # the License.  You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  from pyspark.ml.param import *
  from pyspark.ml.util import JavaMLWritable, JavaMLReadable
  from pyspark.ml.wrapper import JavaModel
  
  from ai.h2o.sparkling.ml.params import H2OMOJOAlgoSharedParams
  
  
  class H2OMOJOModelBase(H2OMOJOAlgoSharedParams, JavaModel, JavaMLWritable, JavaMLReadable):
  
      # Overriding the method to avoid changes on the companion Java object
      def _transfer_params_to_java(self):
          pass
  
new_contents: #
  # Licensed to the Apache Software Foundation (ASF) under one or more
  # contributor license agreements.  See the NOTICE file distributed with
  # this work for additional information regarding copyright ownership.
  # The ASF licenses this file to You under the Apache License, Version 2.0
  # (the "License"); you may not use this file except in compliance with
  # the License.  You may obtain a copy of the License at
  #
  #    http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  from pyspark.ml.param import *
  from pyspark.ml.util import JavaMLWritable, JavaMLReadable
  from pyspark.ml.wrapper import JavaModel
  
  from ai.h2o.sparkling.ml.params import H2OMOJOAlgoSharedParams
  
  
  class H2OMOJOModelBase(JavaModel, JavaMLWritable, JavaMLReadable):
  
      # Overriding the method to avoid changes on the companion Java object
      def _transfer_params_to_java(self):
          pass
  
      ##
      # Getters
      ##
      def getPredictionCol(self):
          return self._java_obj.getPredictionCol()
  
      def getDetailedPredictionCol(self):
          return self._java_obj.getDetailedPredictionCol()
  
      def getWithDetailedPredictionCol(self):
          return self._java_obj.getWithDetailedPredictionCol()
  
      def getFeaturesCols(self):
          return self._java_obj.getFeaturesCols()
  
      def getConvertUnknownCategoricalLevelsToNa(self):
          return self._java_obj.getConvertUnknownCategoricalLevelsToNa()
  
      def getConvertInvalidNumbersToNa(self):
          return self._java_obj.getConvertInvalidNumbersToNa()
  
      def getNamedMojoOutputColumns(self):
          return self._java_obj.getNamedMojoOutputColumns()
  
subject: Fix getters on MOJO models (#1442)