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Class TextExtractionEvaluationMetrics (2.2.0)
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Version 2.2.0 keyboard_arrow_down
TextExtractionEvaluationMetrics(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)
Model evaluation metrics for text extraction problems.
Attributes
Name Description au_prc
float
Output only. The Area under precision recall
curve metric.
confidence_metrics_entries
Sequence[.text_extraction.TextExtractionEvaluationMetrics.ConfidenceMetricsEntry
]
Output only. Metrics that have confidence
thresholds. Precision-recall curve can be
derived from it.
Classes
ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Metrics for a single confidence threshold.
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Last updated 2024-03-21 UTC.
[{
"type": "thumb-down",
"id": "hardToUnderstand",
"label":"Hard to understand"
},{
"type": "thumb-down",
"id": "incorrectInformationOrSampleCode",
"label":"Incorrect information or sample code"
},{
"type": "thumb-down",
"id": "missingTheInformationSamplesINeed",
"label":"Missing the information/samples I need"
},{
"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"
}]
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