# tfma.load_eval_result

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/model-analysis/blob/v0.46.0/tensorflow_model_analysis/api/model_eval_lib.py#L303-L361) |

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
    ) -> https://www.tensorflow.org/tfx/model_analysis/api_docs/python/tfma/EvalResult

### Used in the notebooks

| Used in the tutorials |
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| - [FaceSSD Fairness Indicators Example Colab](https://www.tensorflow.org/responsible_ai/fairness_indicators/tutorials/Facessd_Fairness_Indicators_Example_Colab) - [Introduction to Fairness Indicators](https://www.tensorflow.org/responsible_ai/fairness_indicators/tutorials/Fairness_Indicators_Example_Colab) - [TensorFlow Constrained Optimization Example Using CelebA Dataset](https://www.tensorflow.org/responsible_ai/fairness_indicators/tutorials/Fairness_Indicators_TFCO_CelebA_Case_Study) - [Wiki Talk Comments Toxicity Prediction](https://www.tensorflow.org/responsible_ai/fairness_indicators/tutorials/Fairness_Indicators_TFCO_Wiki_Case_Study) - [Fairness Indicators on TF-Hub Text Embeddings](https://www.tensorflow.org/responsible_ai/fairness_indicators/tutorials/Fairness_Indicators_on_TF_Hub_Text_Embeddings) |

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| ## Args ||
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| `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. |

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| ## Returns ||
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| EvalResult object for use with the visualization functions. ||

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