DescribeModelVersionResponse
Types
Properties
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.
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 using MANUAL promote mode. The model will be promoted in MANAGED promote mode if the performance is better than the previous model.
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.
The Amazon Resource Name (ARN) of the dataset used to train the model version.
The name of the dataset used to train the model version.
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.
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.
The failure message if the training of the model version failed.
The size in bytes of the imported data. This field appears if the model version was imported.
The date and time when the import job completed. This field appears if the model version was imported.
The date and time when the import job began. This field appears if the model version was imported.
Contains the configuration information for the S3 location being used to hold label data.
Indicates the last time the machine learning model version was updated.
The Amazon S3 location where Amazon Lookout for Equipment saves the pointwise model diagnostics for the model version.
The Amazon S3 output prefix for where Lookout for Equipment saves the pointwise model diagnostics for the model version.
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.
Provides a quality assessment for a model that uses labels. If Lookout for Equipment determines that the model quality is poor based on training metrics, the value is POOR_QUALITY_DETECTED. Otherwise, the value is QUALITY_THRESHOLD_MET.
The version of the machine learning model.
The Amazon Resource Name (ARN) of the model version.
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.
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.
Indicates the number of days of data used in the most recent scheduled retraining run.
The identifier of the KMS key key used to encrypt model version data by Amazon Lookout for Equipment.
If model version was imported, then this field is the arn of the source model version.
Indicates whether this model version was created by training or by importing.
The current status of the model version.
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.
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.
The time when the training of the version completed.
The time when the training of the version began.