code: def show_fitted_time_series(len_forecast=24):
      """
      Shows an example of how to get fitted values of a time series by any
      pipeline created by FEDOT
  
      fitted values - are the predictions of the pipelines on the training sample.
      For time series, these values show how well the model reproduces the time
      series structure
      """
      task = Task(
          TaskTypesEnum.ts_forecasting,
          TsForecastingParams(forecast_length=len_forecast),
      )
  
      ts_input = InputData.from_csv_time_series(
          file_path="../../../cases/data/time_series/metocean.csv",
          task=task,
          target_column="value",
      )
  
      pipeline = get_simple_short_lagged_pipeline()
      train_predicted = pipeline.fit(ts_input)
  
      # Get fitted values for every 10th forecast
      fitted_ts_10 = fitted_values(ts_input, train_predicted, 10)
      # Average for all forecasting horizons
      fitted_ts_act = fitted_values(ts_input, train_predicted)
      # In-sample forecasting fitted values
      in_sample_validated = in_sample_fitted_values(
          ts_input, train_predicted
      )
  
      plt.plot(
          range(len(ts_input.idx)),
          ts_input.target,
          label="Actual time series",
          alpha=0.8,
      )
      plt.plot(
          fitted_ts_10.idx,
          fitted_ts_10.predict,
          label="Fitted values horizon 10",
          alpha=0.2,
      )
      plt.plot(
          fitted_ts_act.idx,
          fitted_ts_act.predict,
          label="Fitted values all",
          alpha=0.2,
      )
      plt.plot(
          in_sample_validated.idx,
          in_sample_validated.predict,
          label="In-sample fitted values",
      )
      plt.legend()
      plt.grid()
      plt.show()
  
imports: from matplotlib import pyplot
  from fedot.core.data.data import InputData
  from fedot.core.pipelines.ts_wrappers import fitted_values, in_sample_fitted_values
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams
  from test.unit.pipelines.test_pipeline_ts_wrappers import get_simple_short_lagged_pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: show_fitted_time_series(len_forecast) without return types