class_docstr: Iterate over a set of fully-specified hyperparameter combinations.
  
  Args:
      hp_iter (list): list of fully-specified hyperparameter dicts. 
class_docstr_tok: ["Iterate","over","a","set","of","fully-specified","hyperparameter","combinations",".","Args",":","hp_iter","(","list",")",":","list","of","fully-specified","hyperparameter","dicts","."]
code: def load(self, num_trials):
      self.count = num_trials
  
imports: import os
  import random
  import numpy
  import logging
  import sherpa
  import pandas
  import sklearn.gaussian_process
  from sherpa.core import Choice, Continuous, Discrete, Ordinal, AlgorithmState
  from sherpa.core import rng
  import sklearn.model_selection
  import collections
label_desc: Use image node_id 3 for calling the Iterate obj's underlying member method code with example usage: obj.load(num_trials) without return types