Output only. Metrics for each label-match confidence_threshold from 0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is derived from them.
getIouThreshold
Output only. The intersection-over-union threshold value used to compute
this metrics entry.
Returns
Type
Description
float
setIouThreshold
Output only. The intersection-over-union threshold value used to compute
this metrics entry.
Parameter
Name
Description
var
float
Returns
Type
Description
$this
getMeanAveragePrecision
Output only. The mean average precision, most often close to au_prc.
Returns
Type
Description
float
setMeanAveragePrecision
Output only. The mean average precision, most often close to au_prc.
Parameter
Name
Description
var
float
Returns
Type
Description
$this
getConfidenceMetricsEntries
Output only. Metrics for each label-match confidence_threshold from
0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
derived from them.
Output only. Metrics for each label-match confidence_threshold from
0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
derived from them.
[[["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 2025-09-04 UTC."],[],[],null,["# Cloud AutoML V1 Client - Class BoundingBoxMetricsEntry (2.0.5)\n\nVersion latestkeyboard_arrow_down\n\n- [2.0.5 (latest)](/php/docs/reference/cloud-automl/latest/V1.BoundingBoxMetricsEntry)\n- [2.0.4](/php/docs/reference/cloud-automl/2.0.4/V1.BoundingBoxMetricsEntry)\n- [1.6.5](/php/docs/reference/cloud-automl/1.6.5/V1.BoundingBoxMetricsEntry)\n- [1.5.4](/php/docs/reference/cloud-automl/1.5.4/V1.BoundingBoxMetricsEntry)\n- [1.4.17](/php/docs/reference/cloud-automl/1.4.17/V1.BoundingBoxMetricsEntry) \nReference documentation and code samples for the Cloud AutoML V1 Client class BoundingBoxMetricsEntry.\n\nBounding box matching model metrics for a single intersection-over-union\nthreshold and multiple label match confidence thresholds.\n\nGenerated from protobuf message `google.cloud.automl.v1.BoundingBoxMetricsEntry`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ AutoMl \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getIouThreshold\n\nOutput only. The intersection-over-union threshold value used to compute\nthis metrics entry.\n\n### setIouThreshold\n\nOutput only. The intersection-over-union threshold value used to compute\nthis metrics entry.\n\n### getMeanAveragePrecision\n\nOutput only. The mean average precision, most often close to au_prc.\n\n### setMeanAveragePrecision\n\nOutput only. The mean average precision, most often close to au_prc.\n\n### getConfidenceMetricsEntries\n\nOutput only. Metrics for each label-match confidence_threshold from\n0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is\nderived from them.\n\n### setConfidenceMetricsEntries\n\nOutput only. Metrics for each label-match confidence_threshold from\n0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is\nderived from them."]]
