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Google Cloud Datalabeling V1beta1 Client - Class ClassificationMetrics (0.5.7) Stay organized with collections
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Version 0.5.7 keyboard_arrow_down
Beta
This library is covered by the Pre-GA Offerings Terms
of the Terms of Service. Pre-GA libraries might have limited support,
and changes to pre-GA libraries might not be compatible with other pre-GA versions.
For more information, see the launch stage descriptions
.
Reference documentation and code samples for the Google Cloud Datalabeling V1beta1 Client class ClassificationMetrics.
Metrics calculated for a classification model.
Generated from protobuf message google.cloud.datalabeling.v1beta1.ClassificationMetrics
Namespace
Google \ Cloud \ DataLabeling \ V1beta1
Methods
__construct
data
array
Optional. Data for populating the Message object.
↳ pr_curve
PrCurve
Precision-recall curve based on ground truth labels, predicted labels, and scores for the predicted labels.
↳ confusion_matrix
ConfusionMatrix
Confusion matrix of predicted labels vs. ground truth labels.
getPrCurve
Precision-recall curve based on ground truth labels, predicted labels, and
scores for the predicted labels.
hasPrCurve
clearPrCurve
setPrCurve
Precision-recall curve based on ground truth labels, predicted labels, and
scores for the predicted labels.
getConfusionMatrix
Confusion matrix of predicted labels vs. ground truth labels.
hasConfusionMatrix
clearConfusionMatrix
setConfusionMatrix
Confusion matrix of predicted labels vs. ground truth labels.
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Last updated 2025-09-04 UTC.
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