AWS SDK for C++
1.8.129
AWS SDK for C++
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#include <CreateAlgorithmRequest.h>
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virtual void | DumpBodyToUrl (Aws::Http::URI &uri) const |
Definition at line 26 of file CreateAlgorithmRequest.h.
Aws::SageMaker::Model::CreateAlgorithmRequest::CreateAlgorithmRequest | ( | ) |
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 411 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 420 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 91 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 50 of file CreateAlgorithmRequest.h.
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Whether to certify the algorithm so that it can be listed in AWS Marketplace.
Definition at line 335 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 86 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 45 of file CreateAlgorithmRequest.h.
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Whether to certify the algorithm so that it can be listed in AWS Marketplace.
Definition at line 329 of file CreateAlgorithmRequest.h.
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Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Definition at line 223 of file CreateAlgorithmRequest.h.
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Reimplemented from Aws::SageMaker::SageMakerRequest.
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Implements Aws::AmazonWebServiceRequest.
Definition at line 35 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 357 of file CreateAlgorithmRequest.h.
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Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
Definition at line 137 of file CreateAlgorithmRequest.h.
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Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Definition at line 282 of file CreateAlgorithmRequest.h.
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Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Definition at line 233 of file CreateAlgorithmRequest.h.
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Convert payload into String.
Implements Aws::AmazonSerializableWebServiceRequest.
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A description of the algorithm.
Definition at line 101 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 96 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 106 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 60 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 55 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 65 of file CreateAlgorithmRequest.h.
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Whether to certify the algorithm so that it can be listed in AWS Marketplace.
Definition at line 341 of file CreateAlgorithmRequest.h.
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Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Definition at line 243 of file CreateAlgorithmRequest.h.
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Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Definition at line 253 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 384 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 375 of file CreateAlgorithmRequest.h.
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Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
Definition at line 167 of file CreateAlgorithmRequest.h.
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inline |
Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
Definition at line 182 of file CreateAlgorithmRequest.h.
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Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Definition at line 306 of file CreateAlgorithmRequest.h.
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Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Definition at line 298 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 366 of file CreateAlgorithmRequest.h.
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inline |
Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
Definition at line 152 of file CreateAlgorithmRequest.h.
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inline |
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Definition at line 290 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 116 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 111 of file CreateAlgorithmRequest.h.
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A description of the algorithm.
Definition at line 121 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 75 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 70 of file CreateAlgorithmRequest.h.
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The name of the algorithm.
Definition at line 80 of file CreateAlgorithmRequest.h.
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Whether to certify the algorithm so that it can be listed in AWS Marketplace.
Definition at line 347 of file CreateAlgorithmRequest.h.
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inline |
Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Definition at line 263 of file CreateAlgorithmRequest.h.
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inline |
Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Definition at line 273 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 402 of file CreateAlgorithmRequest.h.
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An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging AWS Resources.
Definition at line 393 of file CreateAlgorithmRequest.h.
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inline |
Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
Definition at line 197 of file CreateAlgorithmRequest.h.
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inline |
Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
Definition at line 212 of file CreateAlgorithmRequest.h.
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inline |
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Definition at line 322 of file CreateAlgorithmRequest.h.
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inline |
Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
Definition at line 314 of file CreateAlgorithmRequest.h.