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 \ V1beta1Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
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.
| Returns | |
|---|---|
| Type | Description |
PrCurve|null |
|
hasPrCurve
clearPrCurve
setPrCurve
Precision-recall curve based on ground truth labels, predicted labels, and scores for the predicted labels.
| Parameter | |
|---|---|
| Name | Description |
var |
PrCurve
|
| Returns | |
|---|---|
| Type | Description |
$this |
|
getConfusionMatrix
Confusion matrix of predicted labels vs. ground truth labels.
| Returns | |
|---|---|
| Type | Description |
ConfusionMatrix|null |
|
hasConfusionMatrix
clearConfusionMatrix
setConfusionMatrix
Confusion matrix of predicted labels vs. ground truth labels.
| Parameter | |
|---|---|
| Name | Description |
var |
ConfusionMatrix
|
| Returns | |
|---|---|
| Type | Description |
$this |
|