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blog post
DescribeModelVersion
Retrieves information about a specific machine learning model version.
Request Syntax
{
"ModelName": "string
",
"ModelVersion": number
}
Request Parameters
The request accepts the following data in JSON format.
- ModelName
-
The name of the machine learning model that this version belongs to.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$
Required: Yes
- ModelVersion
-
The version of the machine learning model.
Type: Long
Valid Range: Minimum value of 1.
Required: Yes
Response Syntax
{
"AutoPromotionResult": "string",
"AutoPromotionResultReason": "string",
"CreatedAt": number,
"DataPreProcessingConfiguration": {
"TargetSamplingRate": "string"
},
"DatasetArn": "string",
"DatasetName": "string",
"EvaluationDataEndTime": number,
"EvaluationDataStartTime": number,
"FailedReason": "string",
"ImportedDataSizeInBytes": number,
"ImportJobEndTime": number,
"ImportJobStartTime": number,
"LabelsInputConfiguration": {
"LabelGroupName": "string",
"S3InputConfiguration": {
"Bucket": "string",
"Prefix": "string"
}
},
"LastUpdatedTime": number,
"ModelArn": "string",
"ModelDiagnosticsOutputConfiguration": {
"KmsKeyId": "string",
"S3OutputConfiguration": {
"Bucket": "string",
"Prefix": "string"
}
},
"ModelDiagnosticsResultsObject": {
"Bucket": "string",
"Key": "string"
},
"ModelMetrics": "string",
"ModelName": "string",
"ModelQuality": "string",
"ModelVersion": number,
"ModelVersionArn": "string",
"OffCondition": "string",
"PriorModelMetrics": "string",
"RetrainingAvailableDataInDays": number,
"RoleArn": "string",
"Schema": "string",
"ServerSideKmsKeyId": "string",
"SourceModelVersionArn": "string",
"SourceType": "string",
"Status": "string",
"TrainingDataEndTime": number,
"TrainingDataStartTime": number,
"TrainingExecutionEndTime": number,
"TrainingExecutionStartTime": number
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- AutoPromotionResult
-
Indicates whether the model version was promoted to be the active version after retraining or if there was an error with or cancellation of the retraining.
Type: String
Valid Values:
MODEL_PROMOTED | MODEL_NOT_PROMOTED | RETRAINING_INTERNAL_ERROR | RETRAINING_CUSTOMER_ERROR | RETRAINING_CANCELLED
- AutoPromotionResultReason
-
Indicates the reason for the
AutoPromotionResult
. For example, a model might not be promoted if its performance was worse than the active version, if there was an error during training, or if the retraining scheduler was usingMANUAL
promote mode. The model will be promoted inMANAGED
promote mode if the performance is better than the previous model.Type: String
Length Constraints: Minimum length of 1. Maximum length of 256.
- CreatedAt
-
Indicates the time and date at which the machine learning model version was created.
Type: Timestamp
- 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, theTargetSamplingRate
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 PT1HType: DataPreProcessingConfiguration object
- DatasetArn
-
The Amazon Resource Name (ARN) of the dataset used to train the model version.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:dataset\/[0-9a-zA-Z_-]{1,200}\/.+
- DatasetName
-
The name of the dataset used to train the model version.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$
- EvaluationDataEndTime
-
The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version finished being gathered.
Type: Timestamp
- EvaluationDataStartTime
-
The date on which the data in the evaluation set began being gathered. If you imported the version, this is the date that the evaluation set data in the source version began being gathered.
Type: Timestamp
- FailedReason
-
The failure message if the training of the model version failed.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 5000.
Pattern:
[\P{M}\p{M}]{1,5000}
- ImportedDataSizeInBytes
-
The size in bytes of the imported data. This field appears if the model version was imported.
Type: Long
Valid Range: Minimum value of 0.
- ImportJobEndTime
-
The date and time when the import job completed. This field appears if the model version was imported.
Type: Timestamp
- ImportJobStartTime
-
The date and time when the import job began. This field appears if the model version was imported.
Type: Timestamp
- LabelsInputConfiguration
-
Contains the configuration information for the S3 location being used to hold label data.
Type: LabelsInputConfiguration object
- LastUpdatedTime
-
Indicates the last time the machine learning model version was updated.
Type: Timestamp
- ModelArn
-
The Amazon Resource Name (ARN) of the parent machine learning model that this version belong to.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/.+
- ModelDiagnosticsOutputConfiguration
-
The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
Type: ModelDiagnosticsOutputConfiguration object
- ModelDiagnosticsResultsObject
-
Contains the Amazon S3 object path where Amazon Lookout for Equipment writes the model diagnostics results for the model version. The format is
User_Provided_Prefix/Model_Name/Model_Version/model_diagnostics_results.json.gz
.User_Provided_Prefix
is the prefix that you specify in theModelDiagnosticsOutputConfiguration
request parameter to theCreateModel
orUpdateModel
operations.Type: S3Object object
- ModelMetrics
-
Shows an aggregated summary, in JSON format, of the model's performance within the evaluation time range. These metrics are created when evaluating the model.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 50000.
- ModelName
-
The name of the machine learning model that this version belongs to.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$
- ModelQuality
-
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 isQUALITY_THRESHOLD_MET
.If the model is unlabeled, the model quality can't be assessed and the value of
ModelQuality
isCANNOT_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.
Type: String
Valid Values:
QUALITY_THRESHOLD_MET | CANNOT_DETERMINE_QUALITY | POOR_QUALITY_DETECTED
- ModelVersion
-
The version of the machine learning model.
Type: Long
Valid Range: Minimum value of 1.
- ModelVersionArn
-
The Amazon Resource Name (ARN) of the model version.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
^arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/[0-9a-zA-Z_-]{1,200}\/.+\/model-version\/[0-9]{1,}$
- OffCondition
-
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.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 2048.
- PriorModelMetrics
-
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.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 50000.
- RetrainingAvailableDataInDays
-
Indicates the number of days of data used in the most recent scheduled retraining run.
Type: Integer
- RoleArn
-
The Amazon Resource Name (ARN) of the role that was used to train the model version.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws(-[^:]+)?:iam::[0-9]{12}:role/.+
- Schema
-
The schema of the data used to train the model version.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 1000000.
- ServerSideKmsKeyId
-
The identifier of the AWS KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 1024.
Pattern:
arn:aws[a-z\-]*:kms:[a-z0-9\-]*:\d{12}:[\w\-\/]+
- SourceModelVersionArn
-
If model version was imported, then this field is the arn of the source model version.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
^arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/[0-9a-zA-Z_-]{1,200}\/.+\/model-version\/[0-9]{1,}$
- SourceType
-
Indicates whether this model version was created by training or by importing.
Type: String
Valid Values:
TRAINING | RETRAINING | IMPORT
- Status
-
The current status of the model version.
Type: String
Valid Values:
IN_PROGRESS | SUCCESS | FAILED | IMPORT_IN_PROGRESS | CANCELED
- TrainingDataEndTime
-
The date on which the training data finished being gathered. If you imported the version, this is the date that the training data in the source version finished being gathered.
Type: Timestamp
- TrainingDataStartTime
-
The date on which the training data began being gathered. If you imported the version, this is the date that the training data in the source version began being gathered.
Type: Timestamp
- TrainingExecutionEndTime
-
The time when the training of the version completed.
Type: Timestamp
- TrainingExecutionStartTime
-
The time when the training of the version began.
Type: Timestamp
Errors
- AccessDeniedException
-
The request could not be completed because you do not have access to the resource.
HTTP Status Code: 400
- InternalServerException
-
Processing of the request has failed because of an unknown error, exception or failure.
HTTP Status Code: 500
- ResourceNotFoundException
-
The resource requested could not be found. Verify the resource ID and retry your request.
HTTP Status Code: 400
- ThrottlingException
-
The request was denied due to request throttling.
HTTP Status Code: 400
- ValidationException
-
The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: