Package com.pulumi.aws.sagemaker.outputs
Class TrainingJobAlgorithmSpecification
- java.lang.Object
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- com.pulumi.aws.sagemaker.outputs.TrainingJobAlgorithmSpecification
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public final class TrainingJobAlgorithmSpecification extends java.lang.Object
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classTrainingJobAlgorithmSpecification.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description java.util.Optional<java.lang.String>algorithmName()static TrainingJobAlgorithmSpecification.Builderbuilder()static TrainingJobAlgorithmSpecification.Builderbuilder(TrainingJobAlgorithmSpecification defaults)java.util.List<java.lang.String>containerArguments()java.util.List<java.lang.String>containerEntrypoints()java.util.Optional<java.lang.Boolean>enableSagemakerMetricsTimeSeries()java.util.List<TrainingJobAlgorithmSpecificationMetricDefinition>metricDefinitions()java.util.Optional<java.lang.String>trainingImage()java.util.Optional<TrainingJobAlgorithmSpecificationTrainingImageConfig>trainingImageConfig()java.util.Optional<java.lang.String>trainingInputMode()
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Method Detail
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algorithmName
public java.util.Optional<java.lang.String> algorithmName()
- Returns:
- Name or ARN of the algorithm resource to use for the training job.
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containerArguments
public java.util.List<java.lang.String> containerArguments()
- Returns:
- List of arguments for the container entrypoint. Maximum of 100 entries.
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containerEntrypoints
public java.util.List<java.lang.String> containerEntrypoints()
- Returns:
- List of entrypoint commands for the container. Maximum of 100 entries.
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enableSagemakerMetricsTimeSeries
public java.util.Optional<java.lang.Boolean> enableSagemakerMetricsTimeSeries()
- Returns:
- Whether to enable SageMaker AI metrics time series collection.
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metricDefinitions
public java.util.List<TrainingJobAlgorithmSpecificationMetricDefinition> 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.
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trainingImage
public java.util.Optional<java.lang.String> trainingImage()
- Returns:
- Registry path of the Docker image that contains the training algorithm.
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trainingImageConfig
public java.util.Optional<TrainingJobAlgorithmSpecificationTrainingImageConfig> trainingImageConfig()
- Returns:
- Training image configuration. See `trainingImageConfig` below.
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trainingInputMode
public java.util.Optional<java.lang.String> trainingInputMode()
- Returns:
- Input mode for the training data. Valid values: `File`, `Pipe`, `FastFile`.
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builder
public static TrainingJobAlgorithmSpecification.Builder builder()
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builder
public static TrainingJobAlgorithmSpecification.Builder builder(TrainingJobAlgorithmSpecification defaults)
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