Class: Aws::LookoutEquipment::Types::DescribeModelResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::LookoutEquipment::Types::DescribeModelResponse
- Defined in:
- gems/aws-sdk-lookoutequipment/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_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_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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#accumulated_inference_data_start_time ⇒ Time
Indicates the start time of the inference data that has been accumulated.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#created_at ⇒ Time
Indicates the time and date at which the machine learning model was created.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#dataset_name ⇒ String
The name of the dataset being used by the machine learning being described.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#failed_reason ⇒ String
If the training of the machine learning model failed, this indicates the reason for that failure.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#labels_input_configuration ⇒ Types::LabelsInputConfiguration
Specifies configuration information about the labels input, including its S3 location.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#latest_scheduled_retraining_model_version ⇒ Integer
Indicates the most recent model version that was generated by retraining.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#latest_scheduled_retraining_start_time ⇒ Time
Indicates the start time of the most recent scheduled retraining run.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#latest_scheduled_retraining_status ⇒ String
Indicates the status of the most recent scheduled retraining run.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#model_arn ⇒ String
The Amazon Resource Name (ARN) of the machine learning model being described.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#model_name ⇒ String
The name of the machine learning model being described.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#model_version_activated_at ⇒ Time
The date the active model version was activated.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#previous_model_version_activated_at ⇒ Time
The date and time when the previous active model version was activated.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#retraining_scheduler_status ⇒ String
Indicates the status of the retraining scheduler.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) 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.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#training_execution_end_time ⇒ Time
Indicates the time at which the training of the machine learning model was completed.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |
#training_execution_start_time ⇒ Time
Indicates the time at which the training of the machine learning model began.
1518 1519 1520 1521 1522 1523 1524 1525 1526 1527 1528 1529 1530 1531 1532 1533 1534 1535 1536 1537 1538 1539 1540 1541 1542 1543 1544 1545 1546 1547 1548 1549 1550 1551 1552 1553 1554 1555 1556 1557 1558 1559 1560 1561 |
# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1518 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) SENSITIVE = [] include Aws::Structure end |