code: def _get_response_matrix(self, samples: List[Pipeline]):
      operation_response_matrix = []
      for sampled_pipeline in samples:
          sampled_pipeline.fit(self._train_data)
          prediction = sampled_pipeline.predict(self._test_data)
          mse_metric = mean_squared_error(
              y_true=self._test_data.target, y_pred=prediction.predict
          )
          operation_response_matrix.append(mse_metric)
  
      return np.array(operation_response_matrix)
  
imports: from copy import deepcopy
  from os.path import join
  from threading import Lock, Thread
  from typing import List, Union
  import matplotlib.pyplot
  import numpy
  from golem.core.log import default_log
  from sklearn.metrics import mean_squared_error
  from fedot.core.data.data import InputData
  from fedot.core.operations.operation_template import extract_operation_params
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import default_fedot_data_dir
  from fedot.structural_analysis.node_sa_approaches import NodeAnalyzeApproach
  from fedot.structural_analysis.operations_hp_sensitivity.problem import OneOperationProblem
  from fedot.structural_analysis.operations_hp_sensitivity.sa_and_sample_methods import analyze_method_by_name, sample_method_by_name
  from fedot.structural_analysis.sa_requirements import HyperparamsAnalysisMetaParams, SensitivityAnalysisRequirements
label_desc: Use image node_id 5 for calling the OneOperationHPAnalyze obj's underlying member method code with example usage: obj._get_response_matrix(samples) and returns: np