class_docstr: Class for the hyperparameters changing in the operation
  
  :param operation_name: name of operation to get hyperparameters for
  :param current_params: current parameters value
class_docstr_tok: ["Class","for","the","hyperparameters","changing","in","the","operation",":","param","operation_name",":","name","of","operation","to","get","hyperparameters","for",":","param","current_params",":","current","parameters","value"]
code: def __init__(self, operation_name, current_params):
      self.operation_name = operation_name
      self.current_params = current_params
      self.logger = default_log(prefix="ParametersChangerLog")
  
file_path: FEDOT/fedot/core/pipelines/tuning/hyperparams.py
imports: import random
  import numpy
  from golem.core.log import default_log
  from golem.core.tuning.hyperopt_tuner import get_parameter_hyperopt_space
  from hyperopt.pyll.stochastic import sample
  from fedot.core.pipelines.tuning.search_space import PipelineSearchSpace
label_desc: Use image node_id 1 to create a new ParametersChanger object  with example: obj = ParametersChanger(operation_name, current_params)