code: def create_pipeline() -> Pipeline:
      pipeline = Pipeline()
      node_logit = PipelineNode("logit")
  
      node_lda = PipelineNode("lda")
      node_lda.parameters = {"solver": "lsqr"}
  
      node_rf = PipelineNode("rf")
      node_rf.nodes_from = [node_logit, node_lda]
  
      pipeline.add_node(node_rf)
  
      return pipeline
  
imports: import json
  import os
  from functools import reduce
  import numpy
  import pytest
  from sklearn.metrics import mean_squared_error
  from fedot.core.composer.metrics import RMSE
  from fedot.core.data.data import InputData
  from fedot.core.operations.atomized_model import AtomizedModel
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.utils import fedot_project_root
  from test.integration.utilities.test_pipeline_import_export import create_correct_path, create_func_delete_files
label_desc: Use image node_id 2 for calling a global function with example usage: create_pipeline() and returns: pipeline