Reference documentation and code samples for the AI Platform Data Labeling Service V1beta1 API class Google::Cloud::DataLabeling::V1beta1::EvaluationJobAlertConfig.
Provides details for how an evaluation job sends email alerts based on the results of a run.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
def email() -> ::String
Returns
- (::String) — Required. An email address to send alerts to.
#email=
def email=(value) -> ::String
Parameter
- value (::String) — Required. An email address to send alerts to.
Returns
- (::String) — Required. An email address to send alerts to.
#min_acceptable_mean_average_precision
def min_acceptable_mean_average_precision() -> ::Float
Returns
- (::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.
#min_acceptable_mean_average_precision=
def min_acceptable_mean_average_precision=(value) -> ::Float
Parameter
- value (::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.
Returns
- (::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.