class_docstr: Interface for any training data format conversion.
class_docstr_tok: ["Interface","for","any","training","data","format","conversion","."]
docstr: Generates path for a training data file converted to YAML format.
  
  Args:
      source_file_path: Path to the original file.
      output_directory: Path to the target directory.
  
  Returns:
      Path to the target converted training data file.
docstr_tok: ["Generates","path","for","a","training","data","file","converted","to","YAML","format",".","Args",":","source_file_path",":","Path","to","the","original","file",".","output_directory",":","Path","to","the","target","directory",".","Returns",":","Path","to","the","target","converted","training","data","file","."]
code: def generate_path_for_converted_training_data_file(
      cls, source_file_path: Path, output_directory: Path
  ) -> Path:
      """Generates path for a training data file converted to YAML format.
  
      Args:
          source_file_path: Path to the original file.
          output_directory: Path to the target directory.
  
      Returns:
          Path to the target converted training data file.
      """
      return (
          output_directory
          / f"{source_file_path.stem}{cls.converted_file_suffix()}"
      )
  
imports: from pathlib import Path
  from typing import Text
label_desc: Use image node_id 2 for calling the TrainingDataConverter obj's underlying member method code with example usage: obj.generate_path_for_converted_training_data_file(cls, source_file_path, output_directory) and returns: unknown