Class RecommendationJobContainerConfig
- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<RecommendationJobContainerConfig.Builder,RecommendationJobContainerConfig>
Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API. The fields specified in ContainerConfig override the
corresponding fields in the model package. Use ContainerConfig if you want to specify these fields for
the recommendation job but don't want to edit them in your model package.
- See Also:
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()final StringSpecifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form.final Stringdomain()The machine learning domain of the model and its components.final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final StringThe machine learning framework of the container image.final StringThe framework version of the container image.final <T> Optional<T> getValueForField(String fieldName, Class<T> clazz) final inthashCode()final booleanFor responses, this returns true if the service returned a value for the SupportedInstanceTypes property.final booleanFor responses, this returns true if the service returned a value for the SupportedResponseMIMETypes property.final StringThe name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.Specifies theSamplePayloadUrland all other sample payload-related fields.static Class<? extends RecommendationJobContainerConfig.Builder> The endpoint type to receive recommendations for.final StringThe endpoint type to receive recommendations for.A list of the instance types that are used to generate inferences in real-time.The supported MIME types for the output data.final Stringtask()The machine learning task that the model accomplishes.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.Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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domain
The machine learning domain of the model and its components.
Valid Values:
COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING- Returns:
- The machine learning domain of the model and its components.
Valid Values:
COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
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task
The machine learning task that the model accomplishes.
Valid Values:
IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER- Returns:
- The machine learning task that the model accomplishes.
Valid Values:
IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
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framework
The machine learning framework of the container image.
Valid Values:
TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN- Returns:
- The machine learning framework of the container image.
Valid Values:
TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
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frameworkVersion
The framework version of the container image.
- Returns:
- The framework version of the container image.
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payloadConfig
Specifies the
SamplePayloadUrland all other sample payload-related fields.- Returns:
- Specifies the
SamplePayloadUrland all other sample payload-related fields.
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nearestModelName
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
Valid Values:
efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet- Returns:
- The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender
that matches your model.
Valid Values:
efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
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hasSupportedInstanceTypes
public final boolean hasSupportedInstanceTypes()For responses, this returns true if the service returned a value for the SupportedInstanceTypes 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. -
supportedInstanceTypes
A list of the instance types that are used to generate inferences in real-time.
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
hasSupportedInstanceTypes()method.- Returns:
- A list of the instance types that are used to generate inferences in real-time.
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supportedEndpointType
The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.
If the service returns an enum value that is not available in the current SDK version,
supportedEndpointTypewill returnRecommendationJobSupportedEndpointType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromsupportedEndpointTypeAsString().- Returns:
- The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.
- See Also:
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supportedEndpointTypeAsString
The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.
If the service returns an enum value that is not available in the current SDK version,
supportedEndpointTypewill returnRecommendationJobSupportedEndpointType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromsupportedEndpointTypeAsString().- Returns:
- The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.
- See Also:
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dataInputConfig
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
- Returns:
- Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
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hasSupportedResponseMIMETypes
public final boolean hasSupportedResponseMIMETypes()For responses, this returns true if the service returned a value for the SupportedResponseMIMETypes 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. -
supportedResponseMIMETypes
The supported MIME types for the output data.
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
hasSupportedResponseMIMETypes()method.- Returns:
- The supported MIME types for the output data.
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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<RecommendationJobContainerConfig.Builder,RecommendationJobContainerConfig> - Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
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equals
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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
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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