class_docstr: Module level tests for all sktime forecasters.
class_docstr_tok: ["Module","level","tests","for","all","sktime","forecasters","."]
docstr: Test get_fitted_params.
docstr_tok: ["Test","get_fitted_params","."]
code: def test_get_fitted_params(self, estimator_instance, scenario):
      """Test get_fitted_params."""
      scenario.run(estimator_instance, method_sequence=["fit"])
      try:
          params = estimator_instance.get_fitted_params()
          assert isinstance(params, dict)
  
      except NotImplementedError:
          pass
  
imports: import numpy
  import pandas
  import pytest
  from sktime.datatypes import check_is_mtype
  from sktime.datatypes._utilities import get_cutoff
  from sktime.exceptions import NotFittedError
  from sktime.forecasting.base._delegate import _DelegatedForecaster
  from sktime.forecasting.base._fh import ForecastingHorizon
  from sktime.forecasting.tests._config import TEST_ALPHAS, TEST_FHS, TEST_OOS_FHS, TEST_STEP_LENGTHS_INT, TEST_WINDOW_LENGTHS_INT, VALID_INDEX_FH_COMBINATIONS
  from sktime.performance_metrics.forecasting import mean_absolute_percentage_error
  from sktime.split import ExpandingWindowSplitter, SlidingWindowSplitter, temporal_train_test_split
  from sktime.tests.test_all_estimators import BaseFixtureGenerator, QuickTester
  from sktime.utils._testing.forecasting import _assert_correct_columns, _assert_correct_pred_time_index, _get_expected_index_for_update_predict, _get_n_columns, _make_fh, make_forecasting_problem
  from sktime.utils._testing.series import _make_series
  from sktime.utils.validation.forecasting import check_fh
label_desc: Use image node_id 1 for calling the TestAllForecasters obj's underlying member method code with example usage: obj.test_get_fitted_params(estimator_instance, scenario) without return types