class_docstr: Image modality
  
  Parameters
  ----------
  images: Union[List, numpy.ndarray], optional
      A list or tensor of images that the row indices are
      aligned with user/item in `ids`.
  
  paths: List[str], optional
      A list of paths, to images stored on disk, which
      the row indices are aligned with user/item in `ids`..
class_docstr_tok: ["Image","modality","Parameters","--","--","--","--","--","images",":","Union","[","List",",","numpy.ndarray","]",",","optional","A","list","or","tensor","of","images","that","the","row","indices","are","aligned","with","user\/item","in","`","ids","`",".","paths",":","List","[","str","]",",","optional","A","list","of","paths",",","to","images","stored","on","disk",",","which","the","row","indices","are","aligned","with","user\/item","in","`","ids","`",".."]
code: def __init__(self, **kwargs):
      super().__init__(**kwargs)
      self.images = kwargs.get("images", None)
      self.paths = kwargs.get("paths", None)
  
imports: from .None import FeatureModality
label_desc: Use image node_id 1 to create a new ImageModality object from inherited base classes: FeatureModality with example: obj = ImageModality()