code: def get_simple_pipeline():
      """Function returns simple pipeline"""
      node_lagged = PipelineNode("lagged")
      node_lagged.parameters = {"window_size": 150}
      node_ridge = PipelineNode("ridge", nodes_from=[node_lagged])
      ridge_pipeline = Pipeline(node_ridge)
      return ridge_pipeline
  
file_path: FEDOT/cases/time_series_gapfilling_case.py
imports: import os
  import matplotlib.pyplot
  import numpy
  import pandas
  from sklearn.metrics import mean_absolute_error, mean_squared_error, median_absolute_error
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import fedot_project_root
  from fedot.utilities.ts_gapfilling import ModelGapFiller
label_desc: Use image node_id 4 for calling a global function with example usage: get_simple_pipeline() and returns: ridge_pipeline