code: def parallelFit(self, dataset, param_maps):
      sc = SparkContext._active_spark_context
      self._transfer_params_to_java()
      javaParamMaps = [to_java_params(sc, self, x) for x in param_maps]
      javaModels = self._java_obj.parallelFit(
          dataset._jdf, javaParamMaps
      )
      return [
          self._copyValues(self._create_model(x)) for x in javaModels
      ]
  
file_path: SynapseML/vw/src/main/python/synapse/ml/vw/VowpalWabbitPythonBase.py
imports: from pyspark.ml.common import inherit_doc
  from pyspark import SparkContext, SQLContext
  from pyspark.sql import DataFrame
  from pyspark.ml.wrapper import JavaWrapper
  from pyspark.ml.common import _py2java
label_desc: Use image node_id 2 for calling the VowpalWabbitPythonBase obj's underlying member method code with example usage: obj.parallelFit(dataset, param_maps) and returns: unknown