class_docstr: Interface for any training data format conversion.
class_docstr_tok: ["Interface","for","any","training","data","format","conversion","."]
docstr: Checks if the concrete implementation of TrainingDataConverter can convert
  training data file.
  
  Args:
      source_path: Path to the training data file.
  
  Returns:
      `True` if the given file can be converted, `False` otherwise
docstr_tok: ["Checks","if","the","concrete","implementation","of","TrainingDataConverter","can","convert","training","data","file",".","Args",":","source_path",":","Path","to","the","training","data","file",".","Returns",":","`","True","`","if","the","given","file","can","be","converted",",","`","False","`","otherwise"]
code: def filter(cls, source_path: Path) -> bool:
      """Checks if the concrete implementation of TrainingDataConverter can convert
      training data file.
  
      Args:
          source_path: Path to the training data file.
  
      Returns:
          `True` if the given file can be converted, `False` otherwise
      """
      raise NotImplementedError
  
imports: from pathlib import Path
  from typing import Text
label_desc: Use image node_id 1 for calling the TrainingDataConverter obj's underlying member method code with example usage: obj.filter(cls, source_path) without return types