code: def tune_uniform(self, low, high, samples, default, name):
      # how this fx samples for the data
      def gen_samples():
          vals = [random.uniform(low, high) for i in range(samples)]
          return vals
  
      return self.__resolve_param(gen_samples, default, name)
  
file_path: test-tube/test_tube/hyperopt.py
imports: import itertools
  import json
  import random
label_desc: Use image node_id 2 for calling the HyperParamOptimizer obj's underlying member method code with example usage: obj.tune_uniform(low, high, samples, default, name) and returns: self, vals