Interface ContainerConfig.Builder
- All Superinterfaces:
Buildable
,CopyableBuilder<ContainerConfig.Builder,
,ContainerConfig> SdkBuilder<ContainerConfig.Builder,
,ContainerConfig> SdkPojo
- Enclosing class:
ContainerConfig
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Method Summary
Modifier and TypeMethodDescriptionThe arguments for a container used to run a training job.arguments
(Collection<String> arguments) The arguments for a container used to run a training job.entrypoint
(String... entrypoint) The entrypoint script for a Docker container used to run a training job.entrypoint
(Collection<String> entrypoint) The entrypoint script for a Docker container used to run a training job.The registry path of the docker image that contains the algorithm.metricDefinitions
(Collection<MetricDefinition> metricDefinitions) A list of metric definition objects.metricDefinitions
(Consumer<MetricDefinition.Builder>... metricDefinitions) A list of metric definition objects.metricDefinitions
(MetricDefinition... metricDefinitions) A list of metric definition objects.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy
Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields
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Method Details
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imageUri
The registry path of the docker image that contains the algorithm. Clean Rooms ML currently only supports the
registry/repository[:tag]
image path format. For more information about using images in Clean Rooms ML, see the Sagemaker API reference.- Parameters:
imageUri
- The registry path of the docker image that contains the algorithm. Clean Rooms ML currently only supports theregistry/repository[:tag]
image path format. For more information about using images in Clean Rooms ML, see the Sagemaker API reference.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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entrypoint
The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.
- Parameters:
entrypoint
- The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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entrypoint
The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.
- Parameters:
entrypoint
- The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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arguments
The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.
- Parameters:
arguments
- The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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arguments
The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.
- Parameters:
arguments
- The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information. For more information, see How Sagemaker runs your training image.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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metricDefinitions
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.
- Parameters:
metricDefinitions
- A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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metricDefinitions
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.
- Parameters:
metricDefinitions
- A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.- Returns:
- Returns a reference to this object so that method calls can be chained together.
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metricDefinitions
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon Web Services Clean Rooms ML publishes each metric to all members' Amazon CloudWatch using IAM role configured in PutMLConfiguration.
This is a convenience method that creates an instance of theMetricDefinition.Builder
avoiding the need to create one manually viaMetricDefinition.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed tometricDefinitions(List<MetricDefinition>)
.- Parameters:
metricDefinitions
- a consumer that will call methods onMetricDefinition.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
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