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 _get_current_parameter_value(self, parameter_name):
      try:
          current_value = self.current_params.get(parameter_name)
      except Exception as exec:
          self.logger.warning(
              f"The following error occurred during the hyperparameter configuration.{exec}"
          )
          current_value = None
  
      return current_value
  
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 4 for calling the ParametersChanger obj's underlying member method code with example usage: obj._get_current_parameter_value(parameter_name) and returns: current_value