Class: Aws::Rekognition::Types::ProjectVersionDescription

Inherits:

Struct

• Object
• Struct
• Aws::Rekognition::Types::ProjectVersionDescription

Defined in:

(unknown)

Overview

The description of a version of a model.

Instance Attribute Summary

• #billable_training_time_in_seconds ⇒ Integer

  The duration, in seconds, that the model version has been billed for training.

• #creation_timestamp ⇒ Time

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

• #evaluation_result ⇒ Types::EvaluationResult

  The training results.

• #manifest_summary ⇒ Types::GroundTruthManifest

  The location of the summary manifest.

• #min_inference_units ⇒ Integer

  The minimum number of inference units used by the model.

• #output_config ⇒ Types::OutputConfig

  The location where training results are saved.

• #project_version_arn ⇒ String

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

• #status ⇒ String

  The current status of the model version.

• #status_message ⇒ String

  A descriptive message for an error or warning that occurred.

• #testing_data_result ⇒ Types::TestingDataResult

  Contains information about the testing results.

• #training_data_result ⇒ Types::TrainingDataResult

  Contains information about the training results.

• #training_end_timestamp ⇒ Time

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

Instance Attribute Details

#billable_training_time_in_seconds ⇒ Integer

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.

Returns:

• (Integer) —

  The duration, in seconds, that the model version has been billed for training.

#creation_timestamp ⇒ Time

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

Returns:

• (Time) —

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

#evaluation_result ⇒ Types::EvaluationResult

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

Returns:

• (Types::EvaluationResult) —

  The training results.

#manifest_summary ⇒ Types::GroundTruthManifest

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

Returns:

• (Types::GroundTruthManifest) —

  The location of the summary manifest.

#min_inference_units ⇒ Integer

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

Returns:

• (Integer) —

  The minimum number of inference units used by the model.

#output_config ⇒ Types::OutputConfig

The location where training results are saved.

Returns:

• (Types::OutputConfig) —

  The location where training results are saved.

#project_version_arn ⇒ String

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

Returns:

• (String) —

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

#status ⇒ String

The current status of the model version.

Possible values:

• TRAINING_IN_PROGRESS
• TRAINING_COMPLETED
• TRAINING_FAILED
• STARTING
• RUNNING
• FAILED
• STOPPING
• STOPPED
• DELETING

Returns:

• (String) —

  The current status of the model version.

#status_message ⇒ String

A descriptive message for an error or warning that occurred.

Returns:

• (String) —

  A descriptive message for an error or warning that occurred.

#testing_data_result ⇒ Types::TestingDataResult

Contains information about the testing results.

Returns:

• (Types::TestingDataResult) —

  Contains information about the testing results.

#training_data_result ⇒ Types::TrainingDataResult

Contains information about the training results.

Returns:

• (Types::TrainingDataResult) —

  Contains information about the training results.

#training_end_timestamp ⇒ Time

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

Returns:

• (Time) —

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