Struct ProjectVersionDescription

#[non_exhaustive]
pub struct ProjectVersionDescription {

    pub project_version_arn: Option<String>,
    pub creation_timestamp: Option<DateTime>,
    pub min_inference_units: Option<i32>,
    pub status: Option<ProjectVersionStatus>,
    pub status_message: Option<String>,
    pub billable_training_time_in_seconds: Option<i64>,
    pub training_end_timestamp: Option<DateTime>,
    pub output_config: Option<OutputConfig>,
    pub training_data_result: Option<TrainingDataResult>,
    pub testing_data_result: Option<TestingDataResult>,
    pub evaluation_result: Option<EvaluationResult>,
    pub manifest_summary: Option<GroundTruthManifest>,
    pub kms_key_id: Option<String>,
    pub max_inference_units: Option<i32>,
    pub source_project_version_arn: Option<String>,
    pub version_description: Option<String>,
    pub feature: Option<CustomizationFeature>,
    pub base_model_version: Option<String>,
    pub feature_config: Option<CustomizationFeatureConfig>,
}

A description of a version of a Amazon Rekognition project version.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

project_version_arn: Option<String>

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

creation_timestamp: Option<DateTime>

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

min_inference_units: Option<i32>

The minimum number of inference units used by the model. Applies only to Custom Labels projects. For more information, see StartProjectVersion.

status: Option<ProjectVersionStatus>

The current status of the model version.

status_message: Option<String>

A descriptive message for an error or warning that occurred.

billable_training_time_in_seconds: Option<i64>

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.

training_end_timestamp: Option<DateTime>

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

output_config: Option<OutputConfig>

The location where training results are saved.

training_data_result: Option<TrainingDataResult>

Contains information about the training results.

testing_data_result: Option<TestingDataResult>

Contains information about the testing results.

evaluation_result: Option<EvaluationResult>

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

manifest_summary: Option<GroundTruthManifest>

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

kms_key_id: Option<String>

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

max_inference_units: Option<i32>

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

source_project_version_arn: Option<String>

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

version_description: Option<String>

A user-provided description of the project version.

feature: Option<CustomizationFeature>

The feature that was customized.

base_model_version: Option<String>

The base detection model version used to create the project version.

feature_config: Option<CustomizationFeatureConfig>

Feature specific configuration that was applied during training.

Implementations

impl ProjectVersionDescription

pub fn project_version_arn(&self) -> Option<&str>

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

pub fn creation_timestamp(&self) -> Option<&DateTime>

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

pub fn min_inference_units(&self) -> Option<i32>

The minimum number of inference units used by the model. Applies only to Custom Labels projects. For more information, see StartProjectVersion.

pub fn status(&self) -> Option<&ProjectVersionStatus>

The current status of the model version.

pub fn status_message(&self) -> Option<&str>

A descriptive message for an error or warning that occurred.

pub fn billable_training_time_in_seconds(&self) -> Option<i64>

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) -> Option<&DateTime>

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

pub fn output_config(&self) -> Option<&OutputConfig>

The location where training results are saved.

pub fn training_data_result(&self) -> Option<&TrainingDataResult>

Contains information about the training results.

pub fn testing_data_result(&self) -> Option<&TestingDataResult>

Contains information about the testing results.

pub fn evaluation_result(&self) -> Option<&EvaluationResult>

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

pub fn manifest_summary(&self) -> Option<&GroundTruthManifest>

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) -> Option<&str>

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) -> Option<i32>

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

pub fn source_project_version_arn(&self) -> Option<&str>

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

pub fn version_description(&self) -> Option<&str>

A user-provided description of the project version.

pub fn feature(&self) -> Option<&CustomizationFeature>

The feature that was customized.

pub fn base_model_version(&self) -> Option<&str>

The base detection model version used to create the project version.

pub fn feature_config(&self) -> Option<&CustomizationFeatureConfig>

Feature specific configuration that was applied during training.

impl ProjectVersionDescription

pub fn builder() -> ProjectVersionDescriptionBuilder

Creates a new builder-style object to manufacture ProjectVersionDescription.

Trait Implementations

impl Clone for ProjectVersionDescription

fn clone(&self) -> ProjectVersionDescription

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ProjectVersionDescription

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

Formats the value using the given formatter.

impl PartialEq for ProjectVersionDescription

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for ProjectVersionDescription