code: def get_multimodal_pipeline():
      """Generate multimodal pipeline for classification task with several tables"""
      node_data_source_first = PipelineNode("data_source_table/first")
      node_data_source_second = PipelineNode("data_source_table/second")
  
      node_scaling_first = PipelineNode(
          "scaling", nodes_from=[node_data_source_first]
      )
      node_imputation_second = PipelineNode(
          "simple_imputation", nodes_from=[node_data_source_second]
      )
  
      node_final = PipelineNode(
          "logit",
          nodes_from=[node_scaling_first, node_imputation_second],
      )
      pipeline = Pipeline(node_final)
  
      return pipeline
  
file_path: FEDOT/test/unit/multimodal/data_generators.py
imports: import numpy
  from fedot.core.data.data import InputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import TaskTypesEnum, Task
label_desc: Use image node_id 1 for calling a global function with example usage: get_multimodal_pipeline() and returns: pipeline