tfma.load_eval_result

Loads EvalResult object for use with the visualization functions.

tfma.load_eval_result(
    output_path: Text,
    output_file_format: Optional[Text] = '',
    model_name: Optional[Text] = None
) -> tfma.EvalResult

Used in the notebooks

Used in the tutorials
Fairness Indicators Case Study to showcase Lineage FaceSSD Fairness Indicators Example Colab Fairness Indicators Example Colab TensorFlow Constrained Optimization Example Using CelebA Dataset Installation

Args
output_path	Output directory containing config, metrics, plots, etc.
output_file_format	Optional file extension to filter files by.
model_name	Optional model name. Required if multi-model evaluation was run.

Returns
EvalResult object for use with the visualization functions.