Class TrainingJobAlgorithmSpecificationArgs


  • public final class TrainingJobAlgorithmSpecificationArgs
    extends com.pulumi.resources.ResourceArgs
    • Method Detail

      • algorithmName

        public java.util.Optional<com.pulumi.core.Output<java.lang.String>> algorithmName()
        Returns:
        Name or ARN of the algorithm resource to use for the training job.
      • containerArguments

        public java.util.Optional<com.pulumi.core.Output<java.util.List<java.lang.String>>> containerArguments()
        Returns:
        List of arguments for the container entrypoint. Maximum of 100 entries.
      • containerEntrypoints

        public java.util.Optional<com.pulumi.core.Output<java.util.List<java.lang.String>>> containerEntrypoints()
        Returns:
        List of entrypoint commands for the container. Maximum of 100 entries.
      • enableSagemakerMetricsTimeSeries

        public java.util.Optional<com.pulumi.core.Output<java.lang.Boolean>> enableSagemakerMetricsTimeSeries()
        Returns:
        Whether to enable SageMaker AI metrics time series collection.
      • metricDefinitions

        public java.util.Optional<com.pulumi.core.Output<java.util.List<TrainingJobAlgorithmSpecificationMetricDefinitionArgs>>> metricDefinitions()
        Returns:
        List of metric definitions for the training job. Maximum of 40. Use this to extract custom metrics from your own training container logs. SageMaker can still publish built-in metrics for built-in algorithms and supported prebuilt images when this block is omitted. See `metricDefinitions` below.
      • trainingImage

        public java.util.Optional<com.pulumi.core.Output<java.lang.String>> trainingImage()
        Returns:
        Registry path of the Docker image that contains the training algorithm.
      • trainingInputMode

        public java.util.Optional<com.pulumi.core.Output<java.lang.String>> trainingInputMode()
        Returns:
        Input mode for the training data. Valid values: `File`, `Pipe`, `FastFile`.