Class TextExtractionEvaluationMetrics (2.16.4)
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TextExtractionEvaluationMetrics(
mapping=None, *, ignore_unknown_fields=False, **kwargs
)
Model evaluation metrics for text extraction problems.
Classes
ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Metrics for a single confidence threshold.
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Last updated 2025-08-28 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Class TextExtractionEvaluationMetrics (2.16.4)\n\nVersion latestkeyboard_arrow_down\n\n- [2.16.4 (latest)](/python/docs/reference/automl/latest/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.16.3](/python/docs/reference/automl/2.16.3/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.15.0](/python/docs/reference/automl/2.15.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.14.1](/python/docs/reference/automl/2.14.1/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.13.5](/python/docs/reference/automl/2.13.5/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.12.0](/python/docs/reference/automl/2.12.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.11.4](/python/docs/reference/automl/2.11.4/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.10.1](/python/docs/reference/automl/2.10.1/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.9.0](/python/docs/reference/automl/2.9.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.8.3](/python/docs/reference/automl/2.8.3/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.7.3](/python/docs/reference/automl/2.7.3/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.6.0](/python/docs/reference/automl/2.6.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.5.2](/python/docs/reference/automl/2.5.2/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.4.2](/python/docs/reference/automl/2.4.2/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.3.0](/python/docs/reference/automl/2.3.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.2.0](/python/docs/reference/automl/2.2.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.1.0](/python/docs/reference/automl/2.1.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [2.0.0](/python/docs/reference/automl/2.0.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [1.0.3](/python/docs/reference/automl/1.0.3/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.10.0](/python/docs/reference/automl/0.10.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.9.0](/python/docs/reference/automl/0.9.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.8.0](/python/docs/reference/automl/0.8.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.7.1](/python/docs/reference/automl/0.7.1/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.6.0](/python/docs/reference/automl/0.6.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.5.0](/python/docs/reference/automl/0.5.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics)\n- [0.4.0](/python/docs/reference/automl/0.4.0/google.cloud.automl_v1beta1.types.TextExtractionEvaluationMetrics) \n\n TextExtractionEvaluationMetrics(\n mapping=None, *, ignore_unknown_fields=False, **kwargs\n )\n\nModel evaluation metrics for text extraction problems.\n\nClasses\n-------\n\n### ConfidenceMetricsEntry\n\n ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nMetrics for a single confidence threshold."]]
