tfma.load_eval_result
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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
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.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tfma.load_eval_result\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/model-analysis/blob/v0.46.0/tensorflow_model_analysis/api/model_eval_lib.py#L303-L361) |\n\nLoads EvalResult object for use with the visualization functions. \n\n tfma.load_eval_result(\n output_path: str,\n output_file_format: Optional[str] = 'tfrecord',\n model_name: Optional[str] = None\n ) -\u003e ../tfma/EvalResult\n\n### Used in the notebooks\n\n| Used in the tutorials |\n|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| - [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) |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|----------------------|------------------------------------------------------------------|\n| `output_path` | Output directory containing config, metrics, plots, etc. |\n| `output_file_format` | Optional file extension to filter files by. |\n| `model_name` | Optional model name. Required if multi-model evaluation was run. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| EvalResult object for use with the visualization functions. ||\n\n\u003cbr /\u003e"]]
View source on GitHub