CreateTrainedModelRequest

The associated configured model algorithm used to train this model.

Defines the data channels that are used as input for the trained model request.

The description of the trained model.

The environment variables to set in the Docker container.

Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process.

Specifies the incremental training data channels for the trained model.

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 the associated data.

The membership ID of the member that is creating the trained model.

The name of the trained model.

Information about the EC2 resources that are used to train this model.

The criteria that is used to stop model training.

The optional metadata that you apply 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 input mode for accessing the training data. This parameter determines how the training data is made available to the training algorithm. Valid values are: