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    Interface SmTrainingStepProps

    Configuration for a SageMaker Training step.

    interface SmTrainingStepProps {
        dependsOn?: string[];
        hyperparameters?: Record<string, string>;
        imageUri: string;
        inputChannels: TrainingInputChannel[];
        instanceCount?: number;
        instanceType: string;
        maxRuntimeInSeconds?: number;
        networkConfig?: PipelineNetworkConfig;
        outputKmsKeyId?: string;
        outputPath: string;
        roleArn: string;
        volumeSizeInGB?: number;
    }
    Index

    Properties

    dependsOn? hyperparameters? imageUri inputChannels instanceCount? instanceType maxRuntimeInSeconds? networkConfig? outputKmsKeyId? outputPath roleArn volumeSizeInGB?

    Properties

    dependsOn?: string[]

    Explicit step dependencies.

    hyperparameters?: Record<string, string>

    Hyperparameters passed to the training algorithm.

    imageUri: string

    Training container image URI.

    inputChannels: TrainingInputChannel[]

    Input data channels.

    instanceCount?: number

    Number of training instances (default: 1).

    instanceType: string

    Training instance type.

    maxRuntimeInSeconds?: number

    Max runtime in seconds (default: 86400).

    networkConfig?: PipelineNetworkConfig

    Network configuration.

    outputKmsKeyId?: string

    KMS key ID for output encryption.

    outputPath: string

    S3 URI for model output artifacts.

    roleArn: string

    SageMaker execution role ARN.

    volumeSizeInGB?: number

    Volume size in GB (default: 30).

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