code: def test_set_params():
      meta = Stacking(
          _PredictDummy(),
          [
              ("coxph", CoxPHSurvivalAnalysis()),
              ("svm", FastSurvivalSVM(random_state=0)),
          ],
          probabilities=False,
      )
  
      meta.set_params(coxph__alpha=1.0, svm__alpha=0.4132)
  
      assert 1.0 == meta.get_params()["coxph__alpha"]
      assert 0.4132 == meta.get_params()["svm__alpha"]
  
imports: import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  import pandas
  import pytest
  from sklearn.base import BaseEstimator
  from sklearn.datasets import load_iris
  from sklearn.linear_model import LogisticRegression
  from sklearn.metrics import accuracy_score, roc_auc_score
  from sklearn.svm import SVC
  from sklearn.tree import DecisionTreeClassifier
  from sksurv.ensemble import RandomSurvivalForest
  from sksurv.linear_model import CoxPHSurvivalAnalysis
  from sksurv.meta import MeanEstimator, Stacking
  from sksurv.svm import FastSurvivalSVM
  from sksurv.testing import assert_chf_properties, assert_cindex_almost_equal, assert_survival_function_properties
label_desc: Use image node_id 2 for calling the TestStackingSurvivalAnalysis obj's underlying member method code with example usage: obj.test_set_params() without return types