Class CreateAlgorithmRequest
- All Implemented Interfaces:
SdkPojo,ToCopyableBuilder<CreateAlgorithmRequest.Builder,CreateAlgorithmRequest>
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionfinal StringA description of the algorithm.final StringThe name of the algorithm.builder()final BooleanWhether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extendsSdkRequest.final inthashCode()final booleanhasTags()For responses, this returns true if the service returned a value for the Tags property.final InferenceSpecificationSpecifies details about inference jobs that the algorithm runs, including the following:static Class<? extends CreateAlgorithmRequest.Builder> tags()An array of key-value pairs.Take this object and create a builder that contains all of the current property values of this object.final StringtoString()Returns a string representation of this object.final TrainingSpecificationSpecifies details about training jobs run by this algorithm, including the following:Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code.Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfigurationMethods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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algorithmName
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algorithmDescription
A description of the algorithm.
- Returns:
- A description of the algorithm.
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trainingSpecification
Specifies details about training jobs run by this algorithm, including the following:
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The Amazon ECR path of the container and the version digest of the algorithm.
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The hyperparameters that the algorithm supports.
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The instance types that the algorithm supports for training.
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Whether the algorithm supports distributed training.
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The metrics that the algorithm emits to Amazon CloudWatch.
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Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
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The input channels that the algorithm supports for training data. For example, an algorithm might support
train,validation, andtestchannels.
- Returns:
- Specifies details about training jobs run by this algorithm, including the following:
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The Amazon ECR path of the container and the version digest of the algorithm.
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The hyperparameters that the algorithm supports.
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The instance types that the algorithm supports for training.
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Whether the algorithm supports distributed training.
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The metrics that the algorithm emits to Amazon CloudWatch.
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Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
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The input channels that the algorithm supports for training data. For example, an algorithm might support
train,validation, andtestchannels.
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inferenceSpecification
Specifies details about inference jobs that the algorithm runs, including the following:
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The Amazon ECR paths of containers that contain the inference code and model artifacts.
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The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
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The input and output content formats that the algorithm supports for inference.
- Returns:
- Specifies details about inference jobs that the algorithm runs, including the following:
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The Amazon ECR paths of containers that contain the inference code and model artifacts.
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The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
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The input and output content formats that the algorithm supports for inference.
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validationSpecification
Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code.
- Returns:
- Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm's inference code.
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certifyForMarketplace
Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
- Returns:
- Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
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hasTags
public final boolean hasTags()For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
tags
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasTags()method.- Returns:
- An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
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toBuilder
Description copied from interface:ToCopyableBuilderTake this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilderin interfaceToCopyableBuilder<CreateAlgorithmRequest.Builder,CreateAlgorithmRequest> - Specified by:
toBuilderin classSageMakerRequest- Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
public final int hashCode()- Overrides:
hashCodein classAwsRequest
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equals
- Overrides:
equalsin classAwsRequest
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equalsBySdkFields
Description copied from interface:SdkPojoIndicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojoclass, and is generated based on a service model.If an
SdkPojoclass does not have any inherited fields,equalsBySdkFieldsandequalsare essentially the same.- Specified by:
equalsBySdkFieldsin interfaceSdkPojo- Parameters:
obj- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
Description copied from class:SdkRequestUsed to retrieve the value of a field from any class that extendsSdkRequest. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, theSdkRequest.getValueForField(String, Class)method will again be available.- Overrides:
getValueForFieldin classSdkRequest- Parameters:
fieldName- The name of the member to be retrieved.clazz- The class to cast the returned object to.- Returns:
- Optional containing the casted return value
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sdkFields
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