tfma.load_eval_result

Loads EvalResult object for use with the visualization functions.

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

Used in the notebooks

Used in the tutorials
FaceSSD Fairness Indicators Example Colab Introduction to Fairness Indicators TensorFlow Constrained Optimization Example Using CelebA Dataset Wiki Talk Comments Toxicity Prediction Fairness Indicators on TF-Hub Text Embeddings

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.