Class: Aws::LookoutEquipment::Types::DescribeModelVersionResponse

Inherits:

Struct

Object
Struct
Aws::LookoutEquipment::Types::DescribeModelVersionResponse

show all

Includes:: Structure

Defined in:: lib/aws-sdk-lookoutequipment/types.rb

Overview

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#auto_promotion_result ⇒ String

Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
#auto_promotion_result_reason ⇒ String

Indicates the reason for the ‘AutoPromotionResult`.
#created_at ⇒ Time

Indicates the time and date at which the machine learning model version was created.
#data_pre_processing_configuration ⇒ Types::DataPreProcessingConfiguration

The configuration is the ‘TargetSamplingRate`, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment.
#dataset_arn ⇒ String

The Amazon Resource Name (ARN) of the dataset used to train the model version.
#dataset_name ⇒ String

The name of the dataset used to train the model version.
#evaluation_data_end_time ⇒ Time

The date on which the data in the evaluation set began being gathered.
#evaluation_data_start_time ⇒ Time

The date on which the data in the evaluation set began being gathered.
#failed_reason ⇒ String

The failure message if the training of the model version failed.
#import_job_end_time ⇒ Time

The date and time when the import job completed.
#import_job_start_time ⇒ Time

The date and time when the import job began.
#imported_data_size_in_bytes ⇒ Integer

The size in bytes of the imported data.
#labels_input_configuration ⇒ Types::LabelsInputConfiguration

Contains the configuration information for the S3 location being used to hold label data.
#last_updated_time ⇒ Time

Indicates the last time the machine learning model version was updated.
#model_arn ⇒ String

The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
#model_diagnostics_output_configuration ⇒ Types::ModelDiagnosticsOutputConfiguration

The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
#model_diagnostics_results_object ⇒ Types::S3Object

The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
#model_metrics ⇒ String

Shows an aggregated summary, in JSON format, of the model’s performance within the evaluation time range.
#model_name ⇒ String

The name of the machine learning model that this version belongs to.
#model_quality ⇒ String

Provides a quality assessment for a model that uses labels.
#model_version ⇒ Integer

The version of the machine learning model.
#model_version_arn ⇒ String

The Amazon Resource Name (ARN) of the model version.
#off_condition ⇒ String

Indicates that the asset associated with this sensor has been shut off.
#prior_model_metrics ⇒ String

If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range.
#retraining_available_data_in_days ⇒ Integer

Indicates the number of days of data used in the most recent scheduled retraining run.
#role_arn ⇒ String

The Amazon Resource Name (ARN) of the role that was used to train the model version.
#schema ⇒ String

The schema of the data used to train the model version.
#server_side_kms_key_id ⇒ String

The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
#source_model_version_arn ⇒ String

If model version was imported, then this field is the arn of the source model version.
#source_type ⇒ String

Indicates whether this model version was created by training or by importing.
#status ⇒ String

The current status of the model version.
#training_data_end_time ⇒ Time

The date on which the training data finished being gathered.
#training_data_start_time ⇒ Time

The date on which the training data began being gathered.
#training_execution_end_time ⇒ Time

The time when the training of the version completed.
#training_execution_start_time ⇒ Time

The time when the training of the version began.

Instance Attribute Details

#auto_promotion_result ⇒ `String`

Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#auto_promotion_result_reason ⇒ `String`

Indicates the reason for the ‘AutoPromotionResult`. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was using `MANUAL` promote mode. The model will be promoted in `MANAGED` promote mode if the performance is better than the previous model.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#created_at ⇒ `Time`

Indicates the time and date at which the machine learning model version was created.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#data_pre_processing_configuration ⇒ `Types::DataPreProcessingConfiguration`

The configuration is the ‘TargetSamplingRate`, which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the `TargetSamplingRate` is 1 minute.

When providing a value for the ‘TargetSamplingRate`, you must attach the prefix “PT” to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H

Returns:

(Types::DataPreProcessingConfiguration)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#dataset_arn ⇒ `String`

The Amazon Resource Name (ARN) of the dataset used to train the model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#dataset_name ⇒ `String`

The name of the dataset used to train the model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_data_end_time ⇒ `Time`

The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_data_start_time ⇒ `Time`

The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#failed_reason ⇒ `String`

The failure message if the training of the model version failed.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#import_job_end_time ⇒ `Time`

The date and time when the import job completed. This field appears if the model version was imported.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#import_job_start_time ⇒ `Time`

The date and time when the import job began. This field appears if the model version was imported.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#imported_data_size_in_bytes ⇒ `Integer`

The size in bytes of the imported data. This field appears if the model version was imported.

Returns:

(Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#labels_input_configuration ⇒ `Types::LabelsInputConfiguration`

Contains the configuration information for the S3 location being used to hold label data.

Returns:

(Types::LabelsInputConfiguration)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#last_updated_time ⇒ `Time`

Indicates the last time the machine learning model version was updated.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_arn ⇒ `String`

The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_diagnostics_output_configuration ⇒ `Types::ModelDiagnosticsOutputConfiguration`

The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.

Returns:

(Types::ModelDiagnosticsOutputConfiguration)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_diagnostics_results_object ⇒ `Types::S3Object`

The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.

Returns:

(Types::S3Object)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_metrics ⇒ `String`

Shows an aggregated summary, in JSON format, of the model’s performance within the evaluation time range. These metrics are created when evaluating the model.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_name ⇒ `String`

The name of the machine learning model that this version belongs to.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_quality ⇒ `String`

Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is ‘POOR_QUALITY_DETECTED`. Otherwise, the value is `QUALITY_THRESHOLD_MET`.

If the model is unlabeled, the model quality can’t be assessed and the value of ‘ModelQuality` is `CANNOT_DETERMINE_QUALITY`. In this situation, you can get a model quality assessment by adding labels to the input dataset and retraining the model.

For information about using labels with your models, see [Understanding labeling].

For information about improving the quality of a model, see [Best practices with Amazon Lookout for Equipment].

[1]: docs.aws.amazon.com/lookout-for-equipment/latest/ug/understanding-labeling.html [2]: docs.aws.amazon.com/lookout-for-equipment/latest/ug/best-practices.html

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_version ⇒ `Integer`

The version of the machine learning model.

Returns:

(Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_version_arn ⇒ `String`

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

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#off_condition ⇒ `String`

Indicates that the asset associated with this sensor has been shut off. As long as this condition is met, Lookout for Equipment will not use data from this asset for training, evaluation, or inference.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#prior_model_metrics ⇒ `String`

If the model version was retrained, this field shows a summary of the performance of the prior model on the new training range. You can use the information in this JSON-formatted object to compare the new model version and the prior model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#retraining_available_data_in_days ⇒ `Integer`

Indicates the number of days of data used in the most recent scheduled retraining run.

Returns:

(Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#role_arn ⇒ `String`

The Amazon Resource Name (ARN) of the role that was used to train the model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#schema ⇒ `String`

The schema of the data used to train the model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#server_side_kms_key_id ⇒ `String`

The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#source_model_version_arn ⇒ `String`

If model version was imported, then this field is the arn of the source model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#source_type ⇒ `String`

Indicates whether this model version was created by training or by importing.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#status ⇒ `String`

The current status of the model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_data_end_time ⇒ `Time`

The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_data_start_time ⇒ `Time`

The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_execution_end_time ⇒ `Time`

The time when the training of the version completed.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_execution_start_time ⇒ `Time`

The time when the training of the version began.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1849

class DescribeModelVersionResponse < Struct.new(
  :model_name,
  :model_arn,
  :model_version,
  :model_version_arn,
  :status,
  :source_type,
  :dataset_name,
  :dataset_arn,
  :schema,
  :labels_input_configuration,
  :training_data_start_time,
  :training_data_end_time,
  :evaluation_data_start_time,
  :evaluation_data_end_time,
  :role_arn,
  :data_pre_processing_configuration,
  :training_execution_start_time,
  :training_execution_end_time,
  :failed_reason,
  :model_metrics,
  :last_updated_time,
  :created_at,
  :server_side_kms_key_id,
  :off_condition,
  :source_model_version_arn,
  :import_job_start_time,
  :import_job_end_time,
  :imported_data_size_in_bytes,
  :prior_model_metrics,
  :retraining_available_data_in_days,
  :auto_promotion_result,
  :auto_promotion_result_reason,
  :model_diagnostics_output_configuration,
  :model_diagnostics_results_object,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

Class: Aws::LookoutEquipment::Types::DescribeModelVersionResponse

Overview

Constant Summary collapse

Instance Attribute Summary collapse

Instance Attribute Details

#auto_promotion_result ⇒ String

#auto_promotion_result_reason ⇒ String

#created_at ⇒ Time

#data_pre_processing_configuration ⇒ Types::DataPreProcessingConfiguration

#dataset_arn ⇒ String

#dataset_name ⇒ String

#evaluation_data_end_time ⇒ Time

#evaluation_data_start_time ⇒ Time

#failed_reason ⇒ String

#import_job_end_time ⇒ Time

#import_job_start_time ⇒ Time

#imported_data_size_in_bytes ⇒ Integer

#labels_input_configuration ⇒ Types::LabelsInputConfiguration

#last_updated_time ⇒ Time

#model_arn ⇒ String

#model_diagnostics_output_configuration ⇒ Types::ModelDiagnosticsOutputConfiguration

#model_diagnostics_results_object ⇒ Types::S3Object

#model_metrics ⇒ String

#model_name ⇒ String

#model_quality ⇒ String

#model_version ⇒ Integer

#model_version_arn ⇒ String

#off_condition ⇒ String

#prior_model_metrics ⇒ String

#retraining_available_data_in_days ⇒ Integer

#role_arn ⇒ String

#schema ⇒ String

#server_side_kms_key_id ⇒ String

#source_model_version_arn ⇒ String

#source_type ⇒ String

#status ⇒ String

#training_data_end_time ⇒ Time

#training_data_start_time ⇒ Time

#training_execution_end_time ⇒ Time

#training_execution_start_time ⇒ Time

#auto_promotion_result ⇒ `String`

#auto_promotion_result_reason ⇒ `String`

#created_at ⇒ `Time`

#data_pre_processing_configuration ⇒ `Types::DataPreProcessingConfiguration`

#dataset_arn ⇒ `String`

#dataset_name ⇒ `String`

#evaluation_data_end_time ⇒ `Time`

#evaluation_data_start_time ⇒ `Time`

#failed_reason ⇒ `String`

#import_job_end_time ⇒ `Time`

#import_job_start_time ⇒ `Time`

#imported_data_size_in_bytes ⇒ `Integer`

#labels_input_configuration ⇒ `Types::LabelsInputConfiguration`

#last_updated_time ⇒ `Time`

#model_arn ⇒ `String`

#model_diagnostics_output_configuration ⇒ `Types::ModelDiagnosticsOutputConfiguration`

#model_diagnostics_results_object ⇒ `Types::S3Object`

#model_metrics ⇒ `String`

#model_name ⇒ `String`

#model_quality ⇒ `String`

#model_version ⇒ `Integer`

#model_version_arn ⇒ `String`

#off_condition ⇒ `String`

#prior_model_metrics ⇒ `String`

#retraining_available_data_in_days ⇒ `Integer`

#role_arn ⇒ `String`

#schema ⇒ `String`

#server_side_kms_key_id ⇒ `String`

#source_model_version_arn ⇒ `String`

#source_type ⇒ `String`

#status ⇒ `String`

#training_data_end_time ⇒ `Time`

#training_data_start_time ⇒ `Time`

#training_execution_end_time ⇒ `Time`

#training_execution_start_time ⇒ `Time`