Struct aws_sdk_rekognition::model::project_version_description::Builder

pub struct Builder { /* private fields */ }

A builder for ProjectVersionDescription.

Implementations

impl Builder

pub fn project_version_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the model version.

pub fn set_project_version_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the model version.

pub fn creation_timestamp(self, input: DateTime) -> Self

The Unix datetime for the date and time that training started.

pub fn set_creation_timestamp(self, input: Option<DateTime>) -> Self

The Unix datetime for the date and time that training started.

pub fn min_inference_units(self, input: i32) -> Self

The minimum number of inference units used by the model. For more information, see StartProjectVersion.

pub fn set_min_inference_units(self, input: Option<i32>) -> Self

The minimum number of inference units used by the model. For more information, see StartProjectVersion.

pub fn status(self, input: ProjectVersionStatus) -> Self

The current status of the model version.

pub fn set_status(self, input: Option<ProjectVersionStatus>) -> Self

The current status of the model version.

pub fn status_message(self, input: impl Into<String>) -> Self

A descriptive message for an error or warning that occurred.

pub fn set_status_message(self, input: Option<String>) -> Self

A descriptive message for an error or warning that occurred.

pub fn billable_training_time_in_seconds(self, input: i64) -> Self

The duration, in seconds, that you were billed for a successful training of the model version. This value is only returned if the model version has been successfully trained.

pub fn set_billable_training_time_in_seconds(self, input: Option<i64>) -> Self

The duration, in seconds, that you were billed for a successful training of the model version. This value is only returned if the model version has been successfully trained.

pub fn training_end_timestamp(self, input: DateTime) -> Self

The Unix date and time that training of the model ended.

pub fn set_training_end_timestamp(self, input: Option<DateTime>) -> Self

The Unix date and time that training of the model ended.

pub fn output_config(self, input: OutputConfig) -> Self

The location where training results are saved.

pub fn set_output_config(self, input: Option<OutputConfig>) -> Self

The location where training results are saved.

pub fn training_data_result(self, input: TrainingDataResult) -> Self

Contains information about the training results.

pub fn set_training_data_result(self, input: Option<TrainingDataResult>) -> Self

Contains information about the training results.

pub fn testing_data_result(self, input: TestingDataResult) -> Self

Contains information about the testing results.

pub fn set_testing_data_result(self, input: Option<TestingDataResult>) -> Self

Contains information about the testing results.

pub fn evaluation_result(self, input: EvaluationResult) -> Self

The training results. EvaluationResult is only returned if training is successful.

pub fn set_evaluation_result(self, input: Option<EvaluationResult>) -> Self

The training results. EvaluationResult is only returned if training is successful.

pub fn manifest_summary(self, input: GroundTruthManifest) -> Self

The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.

pub fn set_manifest_summary(self, input: Option<GroundTruthManifest>) -> Self

The location of the summary manifest. The summary manifest provides aggregate data validation results for the training and test datasets.

pub fn kms_key_id(self, input: impl Into<String>) -> Self

The identifer for the AWS Key Management Service key (AWS KMS key) that was used to encrypt the model during training.

pub fn set_kms_key_id(self, input: Option<String>) -> Self

The identifer for the AWS Key Management Service key (AWS KMS key) that was used to encrypt the model during training.

pub fn max_inference_units(self, input: i32) -> Self

The maximum number of inference units Amazon Rekognition Custom Labels uses to auto-scale the model. For more information, see StartProjectVersion.

pub fn set_max_inference_units(self, input: Option<i32>) -> Self

The maximum number of inference units Amazon Rekognition Custom Labels uses to auto-scale the model. For more information, see StartProjectVersion.

pub fn source_project_version_arn(self, input: impl Into<String>) -> Self

If the model version was copied from a different project, SourceProjectVersionArn contains the ARN of the source model version.

pub fn set_source_project_version_arn(self, input: Option<String>) -> Self

If the model version was copied from a different project, SourceProjectVersionArn contains the ARN of the source model version.

pub fn build(self) -> ProjectVersionDescription

Consumes the builder and constructs a ProjectVersionDescription.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Builder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

fn eq(&self, other: &Builder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Builder