Struct rusoto_rekognition::ProjectVersionDescription[][src]

pub struct ProjectVersionDescription {
Show fields pub billable_training_time_in_seconds: Option<i64>, pub creation_timestamp: Option<f64>, pub evaluation_result: Option<EvaluationResult>, pub kms_key_id: Option<String>, pub manifest_summary: Option<GroundTruthManifest>, pub min_inference_units: Option<i64>, pub output_config: Option<OutputConfig>, pub project_version_arn: Option<String>, pub status: Option<String>, pub status_message: Option<String>, pub testing_data_result: Option<TestingDataResult>, pub training_data_result: Option<TrainingDataResult>, pub training_end_timestamp: Option<f64>,
}
Expand description

The description of a version of a model.

Fields

billable_training_time_in_seconds: Option<i64>

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

creation_timestamp: Option<f64>

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

evaluation_result: Option<EvaluationResult>

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

kms_key_id: Option<String>

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

manifest_summary: Option<GroundTruthManifest>

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

min_inference_units: Option<i64>

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

output_config: Option<OutputConfig>

The location where training results are saved.

project_version_arn: Option<String>

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

status: Option<String>

The current status of the model version.

status_message: Option<String>

A descriptive message for an error or warning that occurred.

testing_data_result: Option<TestingDataResult>

Contains information about the testing results.

training_data_result: Option<TrainingDataResult>

Contains information about the training results.

training_end_timestamp: Option<f64>

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

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