Reference documentation and code samples for the Google Cloud Datalabeling V1beta1 Client class EvaluationJobAlertConfig.
Provides details for how an evaluation job sends email alerts based on the results of a run.
Generated from protobuf message google.cloud.datalabeling.v1beta1.EvaluationJobAlertConfig
Methods
__construct
Constructor.
| Parameters | |
|---|---|
| Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ email |
string
Required. An email address to send alerts to. |
↳ min_acceptable_mean_average_precision |
float
Required. A number between 0 and 1 that describes a minimum mean average precision threshold. When the evaluation job runs, if it calculates that your model version's predictions from the recent interval have meanAveragePrecision below this threshold, then it sends an alert to your specified email. |
getEmail
Required. An email address to send alerts to.
| Returns | |
|---|---|
| Type | Description |
string | |
setEmail
Required. An email address to send alerts to.
| Parameter | |
|---|---|
| Name | Description |
var |
string
|
| Returns | |
|---|---|
| Type | Description |
$this | |
getMinAcceptableMeanAveragePrecision
Required. A number between 0 and 1 that describes a minimum mean average precision threshold. When the evaluation job runs, if it calculates that your model version's predictions from the recent interval have meanAveragePrecision below this threshold, then it sends an alert to your specified email.
| Returns | |
|---|---|
| Type | Description |
float | |
setMinAcceptableMeanAveragePrecision
Required. A number between 0 and 1 that describes a minimum mean average precision threshold. When the evaluation job runs, if it calculates that your model version's predictions from the recent interval have meanAveragePrecision below this threshold, then it sends an alert to your specified email.
| Parameter | |
|---|---|
| Name | Description |
var |
float
|
| Returns | |
|---|---|
| Type | Description |
$this | |