class_docstr: Specifies a random streaming range of values to search through.
class_docstr_tok: ["Specifies","a","random","streaming","range","of","values","to","search","through","."]
code: def __init__(self, paramDistributions):
      ctx = SparkContext.getOrCreate()
      self.jvm = ctx.getOrCreate()._jvm
      hyperparamBuilder = (
          self.jvm.com.microsoft.azure.synapse.ml.automl.HyperparamBuilder()
      )
      for k, (est, hyperparam) in paramDistributions:
          javaParam = est._java_obj.getParam(k.name)
          hyperparamBuilder.addHyperparam(javaParam, hyperparam.get())
      self.paramSpace = (
          self.jvm.com.microsoft.azure.synapse.ml.automl.RandomSpace(
              hyperparamBuilder.build(),
          )
      )
  
imports: import sys
  import pyspark
  from pyspark import SparkContext
  from pyspark.ml.common import inherit_doc
  from pyspark.sql.types import *
label_desc: Use image node_id 1 to create a new RandomSpace object from inherited base classes: object with example: obj = RandomSpace(paramDistributions)