class_docstr: Base class used for composite model structure definition
  
  Args:
      nodes: :obj:`PipelineNode` object(s)
      use_input_preprocessing: whether to do input preprocessing or not, ``True`` by default.
docstr: Loads the pipeline ``JSON`` representation with pickled fitted operations.
  
  Args:
      source: where to load the pipeline from
      dict_fitted_operations: dictionary of the fitted operations
docstr_tok: ["Loads","the","pipeline","``","JSON","``","representation","with","pickled","fitted","operations",".","Args",":","source",":","where","to","load","the","pipeline","from","dict_fitted_operations",":","dictionary","of","the","fitted","operations"]
code: def load(
      self,
      source: Union[str, dict],
      dict_fitted_operations: Optional[dict] = None,
  ):
      """Loads the pipeline ``JSON`` representation with pickled fitted operations.
  
      Args:
          source: where to load the pipeline from
          dict_fitted_operations: dictionary of the fitted operations
      """
  
      self.nodes: Optional[List[PipelineNode]] = []
      template = PipelineTemplate(self)
      template.import_pipeline(source, dict_fitted_operations)
      return self
  
imports: from copy import deepcopy
  from datetime import timedelta
  from os import PathLike
  from typing import Optional, Tuple, Union, Sequence, List, Dict
  import func_timeout
  from golem.core.dag.graph import Graph
  from golem.core.dag.graph_delegate import GraphDelegate
  from golem.core.dag.graph_node import GraphNode
  from golem.core.dag.graph_utils import distance_to_primary_level, graph_structure
  from golem.core.dag.linked_graph import LinkedGraph
  from golem.core.log import default_log
  from golem.core.optimisers.timer import Timer
  from golem.core.paths import copy_doc
  from golem.utilities.serializable import Serializable
  from golem.visualisation.graph_viz import NodeColorType
  from fedot.core.caching.pipelines_cache import OperationsCache
  from fedot.core.caching.preprocessing_cache import PreprocessingCache
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.operations.data_operation import DataOperation
  from fedot.core.operations.model import Model
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.template import PipelineTemplate
  from fedot.core.repository.tasks import TaskTypesEnum
  from fedot.core.visualisation.pipeline_specific_visuals import PipelineVisualizer
  from fedot.preprocessing.dummy_preprocessing import DummyPreprocessor
  from fedot.preprocessing.preprocessing import DataPreprocessor
label_desc: Use image node_id 14 for calling the Pipeline obj's underlying member method code with example usage: obj.load(source, dict_fitted_operations) and returns: self