tfma.load_eval_results
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Loads results for multiple models or multiple data sets.
tfma.load_eval_results(
output_paths: Union[str, List[str]],
output_file_format: Optional[str] = 'tfrecord',
mode: str = constants.MODEL_CENTRIC_MODE,
model_name: Optional[str] = None
) -> view_types.EvalResults
Used in the notebooks
Args |
output_paths
|
A single path or list of output paths of completed tfma runs.
|
output_file_format
|
Optional file extension to filter files by.
|
mode
|
The mode of the evaluation. Currently, tfma.DATA_CENTRIC_MODE and
tfma.MODEL_CENTRIC_MODE are supported.
|
model_name
|
Filters to only return results for given model. If unset all
models are returned.
|
Returns |
An EvalResults containing the evaluation results serialized at output_paths.
This can be used to construct a time series view.
|
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Last updated 2024-04-26 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{
"lastModified": "Last updated 2024-04-26 UTC.",
"confidential": False
}