GetTrainedModelResponse

The collaboration ID of the collaboration that contains the trained model.

The Amazon Resource Name (ARN) of the configured model algorithm association that was used to create the trained model.

The time at which the trained model was created.

The data channels that were used for the trained model.

The description of the trained model.

The EC2 environment that was used to create the trained model.

The hyperparameters that were used to create the trained model.

Information about the incremental training data channels used to create this version of the trained model. This includes details about the base model that was used for incremental training and the channel configuration.

The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the trained ML model and associated data.

The logs status for the trained model.

Details about the logs status for the trained model.

The membership ID of the member that created the trained model.

The status of the model metrics.

Details about the metrics status for the trained model.

The name of the trained model.

The EC2 resource configuration that was used to create the trained model.

The status of the trained model.

Details about the status of a resource.

The stopping condition that was used to terminate model training.

The optional metadata that you applied to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The Amazon Resource Name (ARN) of the trained model.

Information about the training image container.

The input mode that was used for accessing the training data when this trained model was created. This indicates how the training data was made available to the training algorithm.

The most recent time at which the trained model was updated.

The version identifier of the trained model. This unique identifier distinguishes this version from other versions of the same trained model.