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

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb

Overview

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#accumulated_inference_data_end_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_versionInteger

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

Returns:

  • (Integer)


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# File 'gems/aws-sdk-lookoutequipment/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_arnString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_atTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_configurationTypes::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



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# File 'gems/aws-sdk-lookoutequipment/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_arnString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_nameString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_reasonString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_configurationTypes::LabelsInputConfiguration

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



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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_daysInteger

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

Returns:

  • (Integer)


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# File 'gems/aws-sdk-lookoutequipment/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_reasonString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_versionInteger

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

Returns:

  • (Integer)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_statusString

Indicates the status of the most recent scheduled retraining run.

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_arnString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_configurationTypes::ModelDiagnosticsOutputConfiguration

Configuration information for the model's pointwise model diagnostics.



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# File 'gems/aws-sdk-lookoutequipment/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_metricsString

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)


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# File 'gems/aws-sdk-lookoutequipment/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_nameString

The name of the machine learning model being described.

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_qualityString

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.

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_atTime

The date the active model version was activated.

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_dateTime

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)


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# File 'gems/aws-sdk-lookoutequipment/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_conditionString

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)


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# File 'gems/aws-sdk-lookoutequipment/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_versionInteger

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

Returns:

  • (Integer)


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# File 'gems/aws-sdk-lookoutequipment/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_arnString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_atTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_metricsString

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)


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# File 'gems/aws-sdk-lookoutequipment/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_statusString

Indicates the status of the retraining scheduler.

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_arnString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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

#schemaString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_idString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_arnString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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

#statusString

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

Returns:

  • (String)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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_timeTime

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

Returns:

  • (Time)


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# File 'gems/aws-sdk-lookoutequipment/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