Class CreateSolutionRequest
- All Implemented Interfaces:
SdkPojo,ToCopyableBuilder<CreateSolutionRequest.Builder,CreateSolutionRequest>
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()final StringThe Amazon Resource Name (ARN) of the dataset group that provides the training data.final booleanfinal booleanequalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final StringWhen your have multiple event types (using anEVENT_TYPEschema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.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 Stringname()The name for the solution.final Booleanfinal BooleanWhether the solution uses automatic training to create new solution versions (trained models).final BooleanWhether to perform hyperparameter optimization (HPO) on the specified or selected recipe.final StringThe Amazon Resource Name (ARN) of the recipe to use for model training.static Class<? extends CreateSolutionRequest.Builder> final SolutionConfigThe configuration properties for the solution.tags()A list of tags to apply to the solution.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 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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name
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performHPO
Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is
false.When performing AutoML, this parameter is always
trueand you should not set it tofalse.- Returns:
- Whether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is
false.When performing AutoML, this parameter is always
trueand you should not set it tofalse.
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performAutoML
We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Choosing a recipe.
Whether to perform automated machine learning (AutoML). The default is
false. For this case, you must specifyrecipeArn.When set to
true, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omitrecipeArn. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.- Returns:
We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Choosing a recipe.
Whether to perform automated machine learning (AutoML). The default is
false. For this case, you must specifyrecipeArn.When set to
true, Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omitrecipeArn. Amazon Personalize determines the optimal recipe by running tests with different values for the hyperparameters. AutoML lengthens the training process as compared to selecting a specific recipe.
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performAutoTraining
Whether the solution uses automatic training to create new solution versions (trained models). The default is
Trueand the solution automatically creates new solution versions every 7 days. You can change the training frequency by specifying aschedulingExpressionin theAutoTrainingConfigas part of solution configuration. For more information about automatic training, see Configuring automatic training.Automatic solution version creation starts within one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training.
After training starts, you can get the solution version's Amazon Resource Name (ARN) with the ListSolutionVersions API operation. To get its status, use the DescribeSolutionVersion.
- Returns:
- Whether the solution uses automatic training to create new solution versions (trained models). The
default is
Trueand the solution automatically creates new solution versions every 7 days. You can change the training frequency by specifying aschedulingExpressionin theAutoTrainingConfigas part of solution configuration. For more information about automatic training, see Configuring automatic training.Automatic solution version creation starts within one hour after the solution is ACTIVE. If you manually create a solution version within the hour, the solution skips the first automatic training.
After training starts, you can get the solution version's Amazon Resource Name (ARN) with the ListSolutionVersions API operation. To get its status, use the DescribeSolutionVersion.
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recipeArn
The Amazon Resource Name (ARN) of the recipe to use for model training. This is required when
performAutoMLis false. For information about different Amazon Personalize recipes and their ARNs, see Choosing a recipe.- Returns:
- The Amazon Resource Name (ARN) of the recipe to use for model training. This is required when
performAutoMLis false. For information about different Amazon Personalize recipes and their ARNs, see Choosing a recipe.
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datasetGroupArn
The Amazon Resource Name (ARN) of the dataset group that provides the training data.
- Returns:
- The Amazon Resource Name (ARN) of the dataset group that provides the training data.
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eventType
When your have multiple event types (using an
EVENT_TYPEschema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.If you do not provide an
eventType, Amazon Personalize will use all interactions for training with equal weight regardless of type.- Returns:
- When your have multiple event types (using an
EVENT_TYPEschema field), this parameter specifies which event type (for example, 'click' or 'like') is used for training the model.If you do not provide an
eventType, Amazon Personalize will use all interactions for training with equal weight regardless of type.
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solutionConfig
The configuration properties for the solution. When
performAutoMLis set to true, Amazon Personalize only evaluates theautoMLConfigsection of the solution configuration.Amazon Personalize doesn't support configuring the
hpoObjectiveat this time.- Returns:
- The configuration properties for the solution. When
performAutoMLis set to true, Amazon Personalize only evaluates theautoMLConfigsection of the solution configuration.Amazon Personalize doesn't support configuring the
hpoObjectiveat this time.
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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
A list of tags to apply to the solution.
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:
- A list of tags to apply to the solution.
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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<CreateSolutionRequest.Builder,CreateSolutionRequest> - Specified by:
toBuilderin classPersonalizeRequest- 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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sdkFieldNameToField
- Specified by:
sdkFieldNameToFieldin interfaceSdkPojo- Returns:
- The mapping between the field name and its corresponding field.
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