Class: Aws::LookoutEquipment::Types::DescribeModelResponse

Inherits:

Struct

Object
Struct
Aws::LookoutEquipment::Types::DescribeModelResponse

show all

Includes:: Structure

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

Overview

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#accumulated_inference_data_end_time ⇒ Time

Indicates the end time of the inference data that has been accumulated.
#accumulated_inference_data_start_time ⇒ Time

Indicates the start time of the inference data that has been accumulated.
#active_model_version ⇒ Integer

The name of the model version used by the inference schedular when running a scheduled inference execution.
#active_model_version_arn ⇒ String

The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.
#created_at ⇒ Time

Indicates the time and date at which the machine learning model 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 Resouce Name (ARN) of the dataset used to create the machine learning model being described.
#dataset_name ⇒ String

The name of the dataset being used by the machine learning being described.
#evaluation_data_end_time ⇒ Time

Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.
#evaluation_data_start_time ⇒ Time

Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.
#failed_reason ⇒ String

If the training of the machine learning model failed, this indicates the reason for that failure.
#import_job_end_time ⇒ Time

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

The date and time when the import job was started.
#labels_input_configuration ⇒ Types::LabelsInputConfiguration

Specifies configuration information about the labels input, including its S3 location.
#last_updated_time ⇒ Time

Indicates the last time the machine learning model was updated.
#latest_scheduled_retraining_available_data_in_days ⇒ Integer

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

If the model version was generated by retraining and the training failed, this indicates the reason for that failure.
#latest_scheduled_retraining_model_version ⇒ Integer

Indicates the most recent model version that was generated by retraining.
#latest_scheduled_retraining_start_time ⇒ Time

Indicates the start time of the most recent scheduled retraining run.
#latest_scheduled_retraining_status ⇒ String

Indicates the status of the most recent scheduled retraining run.
#model_arn ⇒ String

The Amazon Resource Name (ARN) of the machine learning model being described.
#model_diagnostics_output_configuration ⇒ Types::ModelDiagnosticsOutputConfiguration

Configuration information for the model’s pointwise model diagnostics.
#model_metrics ⇒ String

The Model Metrics show an aggregated summary of the model’s performance within the evaluation time range.
#model_name ⇒ String

The name of the machine learning model being described.
#model_quality ⇒ String

Provides a quality assessment for a model that uses labels.
#model_version_activated_at ⇒ Time

The date the active model version was activated.
#next_scheduled_retraining_start_date ⇒ Time

Indicates the date and time that the next scheduled retraining run will start on.
#off_condition ⇒ String

Indicates that the asset associated with this sensor has been shut off.
#previous_active_model_version ⇒ Integer

The model version that was set as the active model version prior to the current active model version.
#previous_active_model_version_arn ⇒ String

The ARN of the model version that was set as the active model version prior to the current active model version.
#previous_model_version_activated_at ⇒ Time

The date and time when the previous active model version was activated.
#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_scheduler_status ⇒ String

Indicates the status of the retraining scheduler.
#role_arn ⇒ String

The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.
#schema ⇒ String

A JSON description of the data that is in each time series dataset, including names, column names, and data types.
#server_side_kms_key_id ⇒ String

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

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

Specifies the current status of the model being described.
#training_data_end_time ⇒ Time

Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.
#training_data_start_time ⇒ Time

Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.
#training_execution_end_time ⇒ Time

Indicates the time at which the training of the machine learning model was completed.
#training_execution_start_time ⇒ Time

Indicates the time at which the training of the machine learning model began.

Instance Attribute Details

#accumulated_inference_data_end_time ⇒ `Time`

Indicates the end time of the inference data that has been accumulated.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#accumulated_inference_data_start_time ⇒ `Time`

Indicates the start time of the inference data that has been accumulated.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#active_model_version ⇒ `Integer`

The name of the model version used by the inference schedular when running a scheduled inference execution.

Returns:

(Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#active_model_version_arn ⇒ `String`

The Amazon Resource Name (ARN) of the model version used by the inference scheduler when running a scheduled inference execution.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#created_at ⇒ `Time`

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

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :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 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#dataset_arn ⇒ `String`

The Amazon Resouce Name (ARN) of the dataset used to create the machine learning model being described.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#dataset_name ⇒ `String`

The name of the dataset being used by the machine learning being described.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_data_end_time ⇒ `Time`

Indicates the time reference in the dataset that was used to end the subset of evaluation data for the machine learning model.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_data_start_time ⇒ `Time`

Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the machine learning model.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#failed_reason ⇒ `String`

If the training of the machine learning model failed, this indicates the reason for that failure.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#import_job_end_time ⇒ `Time`

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

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#import_job_start_time ⇒ `Time`

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

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#labels_input_configuration ⇒ `Types::LabelsInputConfiguration`

Specifies configuration information about the labels input, including its S3 location.

Returns:

(Types::LabelsInputConfiguration)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#last_updated_time ⇒ `Time`

Indicates the last time the machine learning model was updated. The type of update is not specified.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#latest_scheduled_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 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#latest_scheduled_retraining_failed_reason ⇒ `String`

If the model version was generated by retraining and the training failed, this indicates the reason for that failure.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#latest_scheduled_retraining_model_version ⇒ `Integer`

Indicates the most recent model version that was generated by retraining.

Returns:

(Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#latest_scheduled_retraining_start_time ⇒ `Time`

Indicates the start time of the most recent scheduled retraining run.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#latest_scheduled_retraining_status ⇒ `String`

Indicates the status of the most recent scheduled retraining run.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_arn ⇒ `String`

The Amazon Resource Name (ARN) of the machine learning model being described.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_diagnostics_output_configuration ⇒ `Types::ModelDiagnosticsOutputConfiguration`

Configuration information for the model’s pointwise model diagnostics.

Returns:

(Types::ModelDiagnosticsOutputConfiguration)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_metrics ⇒ `String`

The Model Metrics show an aggregated summary of the model’s performance within the evaluation time range. This is the JSON content of the metrics created when evaluating the model.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_name ⇒ `String`

The name of the machine learning model being described.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :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 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#model_version_activated_at ⇒ `Time`

The date the active model version was activated.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#next_scheduled_retraining_start_date ⇒ `Time`

Indicates the date and time that the next scheduled retraining run will start on. Lookout for Equipment truncates the time you provide to the nearest UTC day.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :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 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#previous_active_model_version ⇒ `Integer`

The model version that was set as the active model version prior to the current active model version.

Returns:

(Integer)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#previous_active_model_version_arn ⇒ `String`

The ARN of the model version that was set as the active model version prior to the current active model version.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#previous_model_version_activated_at ⇒ `Time`

The date and time when the previous active model version was activated.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :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 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#retraining_scheduler_status ⇒ `String`

Indicates the status of the retraining scheduler.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#role_arn ⇒ `String`

The Amazon Resource Name (ARN) of a role with permission to access the data source for the machine learning model being described.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#schema ⇒ `String`

A JSON description of the data that is in each time series dataset, including names, column names, and data types.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#server_side_kms_key_id ⇒ `String`

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

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#source_model_version_arn ⇒ `String`

The Amazon Resource Name (ARN) of the source model version. This field appears if the active model version was imported.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#status ⇒ `String`

Specifies the current status of the model being described. Status describes the status of the most recent action of the model.

Returns:

(String)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_data_end_time ⇒ `Time`

Indicates the time reference in the dataset that was used to end the subset of training data for the machine learning model.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_data_start_time ⇒ `Time`

Indicates the time reference in the dataset that was used to begin the subset of training data for the machine learning model.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_execution_end_time ⇒ `Time`

Indicates the time at which the training of the machine learning model was completed.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

#training_execution_start_time ⇒ `Time`

Indicates the time at which the training of the machine learning model began.

Returns:

(Time)

# File 'lib/aws-sdk-lookoutequipment/types.rb', line 1577

class DescribeModelResponse < Struct.new(
  :model_name,
  :model_arn,
  :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,
  :status,
  :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,
  :active_model_version,
  :active_model_version_arn,
  :model_version_activated_at,
  :previous_active_model_version,
  :previous_active_model_version_arn,
  :previous_model_version_activated_at,
  :prior_model_metrics,
  :latest_scheduled_retraining_failed_reason,
  :latest_scheduled_retraining_status,
  :latest_scheduled_retraining_model_version,
  :latest_scheduled_retraining_start_time,
  :latest_scheduled_retraining_available_data_in_days,
  :next_scheduled_retraining_start_date,
  :accumulated_inference_data_start_time,
  :accumulated_inference_data_end_time,
  :retraining_scheduler_status,
  :model_diagnostics_output_configuration,
  :model_quality)
  SENSITIVE = []
  include Aws::Structure
end

Class: Aws::LookoutEquipment::Types::DescribeModelResponse

Overview

Constant Summary collapse

Instance Attribute Summary collapse

Instance Attribute Details

#accumulated_inference_data_end_time ⇒ Time

#accumulated_inference_data_start_time ⇒ Time

#active_model_version ⇒ Integer

#active_model_version_arn ⇒ 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

#labels_input_configuration ⇒ Types::LabelsInputConfiguration

#last_updated_time ⇒ Time

#latest_scheduled_retraining_available_data_in_days ⇒ Integer

#latest_scheduled_retraining_failed_reason ⇒ String

#latest_scheduled_retraining_model_version ⇒ Integer

#latest_scheduled_retraining_start_time ⇒ Time

#latest_scheduled_retraining_status ⇒ String

#model_arn ⇒ String

#model_diagnostics_output_configuration ⇒ Types::ModelDiagnosticsOutputConfiguration

#model_metrics ⇒ String

#model_name ⇒ String

#model_quality ⇒ String

#model_version_activated_at ⇒ Time

#next_scheduled_retraining_start_date ⇒ Time

#off_condition ⇒ String

#previous_active_model_version ⇒ Integer

#previous_active_model_version_arn ⇒ String

#previous_model_version_activated_at ⇒ Time

#prior_model_metrics ⇒ String

#retraining_scheduler_status ⇒ String

#role_arn ⇒ String

#schema ⇒ String

#server_side_kms_key_id ⇒ String

#source_model_version_arn ⇒ String

#status ⇒ String

#training_data_end_time ⇒ Time

#training_data_start_time ⇒ Time

#training_execution_end_time ⇒ Time

#training_execution_start_time ⇒ Time

#accumulated_inference_data_end_time ⇒ `Time`

#accumulated_inference_data_start_time ⇒ `Time`

#active_model_version ⇒ `Integer`

#active_model_version_arn ⇒ `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`

#labels_input_configuration ⇒ `Types::LabelsInputConfiguration`

#last_updated_time ⇒ `Time`

#latest_scheduled_retraining_available_data_in_days ⇒ `Integer`

#latest_scheduled_retraining_failed_reason ⇒ `String`

#latest_scheduled_retraining_model_version ⇒ `Integer`

#latest_scheduled_retraining_start_time ⇒ `Time`

#latest_scheduled_retraining_status ⇒ `String`

#model_arn ⇒ `String`

#model_diagnostics_output_configuration ⇒ `Types::ModelDiagnosticsOutputConfiguration`

#model_metrics ⇒ `String`

#model_name ⇒ `String`

#model_quality ⇒ `String`

#model_version_activated_at ⇒ `Time`

#next_scheduled_retraining_start_date ⇒ `Time`

#off_condition ⇒ `String`

#previous_active_model_version ⇒ `Integer`

#previous_active_model_version_arn ⇒ `String`

#previous_model_version_activated_at ⇒ `Time`

#prior_model_metrics ⇒ `String`

#retraining_scheduler_status ⇒ `String`

#role_arn ⇒ `String`

#schema ⇒ `String`

#server_side_kms_key_id ⇒ `String`

#source_model_version_arn ⇒ `String`

#status ⇒ `String`

#training_data_end_time ⇒ `Time`

#training_data_start_time ⇒ `Time`

#training_execution_end_time ⇒ `Time`

#training_execution_start_time ⇒ `Time`