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
-
#created_at ⇒ Time
Indicates the time and date at which the ML 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 ML model being described.
-
#dataset_name ⇒ String
The name of the dataset being used by the ML 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 ML 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 ML model.
-
#failed_reason ⇒ String
If the training of the ML model failed, this indicates the reason for that failure.
-
#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 ML model was updated.
-
#model_arn ⇒ String
The Amazon Resource Name (ARN) of the ML 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 ML model being described.
-
#off_condition ⇒ String
Indicates that the asset associated with this sensor has been shut off.
-
#role_arn ⇒ String
The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML 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.
-
#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 ML 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 ML model.
-
#training_execution_end_time ⇒ Time
Indicates the time at which the training of the ML model was completed.
-
#training_execution_start_time ⇒ Time
Indicates the time at which the training of the ML model began.
Instance Attribute Details
#created_at ⇒ Time
Indicates the time and date at which the ML model was created.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#dataset_arn ⇒ String
The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#dataset_name ⇒ String
The name of the dataset being used by the ML being described.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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 ML model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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 ML model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#failed_reason ⇒ String
If the training of the ML model failed, this indicates the reason for that failure.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#labels_input_configuration ⇒ Types::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 1293 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) SENSITIVE = [] include Aws::Structure end |
#last_updated_time ⇒ Time
Indicates the last time the ML model was updated. The type of update is not specified.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#model_arn ⇒ String
The Amazon Resource Name (ARN) of the ML model being described.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#model_name ⇒ String
The name of the ML model being described.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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 ML model being described.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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 ML model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) 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 ML model.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#training_execution_end_time ⇒ Time
Indicates the time at which the training of the ML model was completed.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |
#training_execution_start_time ⇒ Time
Indicates the time at which the training of the ML model began.
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# File 'gems/aws-sdk-lookoutequipment/lib/aws-sdk-lookoutequipment/types.rb', line 1293 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) SENSITIVE = [] include Aws::Structure end |