OutputMetadata(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Metadata of the prediction output to be explained.
Static mapping between the index and display name. Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimentions must match that of the outputs to be explained. The ``Attribution.output_display_name`` is populated by locating in the mapping with ``Attribution.output_index``.
Specify a field name in the prediction to look for the display name. Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by ``Attribution.output_index`` for a specific output.
Name of the output tensor. Required and is only applicable to AI Platform provided images for Tensorflow.