class_docstr: Builder for constructing preprocessing part of pipeline during the preparation of an initial assumption.
  If data is multimodal, builder makes preprocessing pipeline for each data source iteratively.
docstr: Return result as PipelineBuilder. Scaling is applied final by default. 
docstr_tok: ["Return","result","as","PipelineBuilder",".","Scaling","is","applied","final","by","default","."]
code: def to_builder(self) -> PipelineBuilder:
      """Return result as PipelineBuilder. Scaling is applied final by default."""
      return self.with_scaling()._builder
  
file_path: FEDOT/fedot/api/api_utils/assumptions/preprocessing_builder.py
imports: from typing import Optional, Union
  from fedot.core.data.data import InputData
  from fedot.core.data.data_preprocessing import data_has_text_features
  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.pipelines.pipeline_builder import PipelineBuilder
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import TaskTypesEnum
label_desc: Use image node_id 5 for calling the PreprocessingBuilder obj's underlying member method code with example usage: obj.to_builder() and returns: self