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NAMEPaws::Personalize::CreateSolution - Arguments for method CreateSolution on Paws::Personalize DESCRIPTIONThis class represents the parameters used for calling the method CreateSolution on the Amazon Personalize service. Use the attributes of this class as arguments to method CreateSolution. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateSolution. SYNOPSISmy $personalize = Paws->service('Personalize'); my $CreateSolutionResponse = $personalize->CreateSolution( DatasetGroupArn => 'MyArn', Name => 'MyName', EventType => 'MyEventType', # OPTIONAL PerformAutoML => 1, # OPTIONAL PerformHPO => 1, # OPTIONAL RecipeArn => 'MyArn', # OPTIONAL SolutionConfig => { AlgorithmHyperParameters => { 'MyParameterName' => 'MyParameterValue', # key: max: 256, value: max: 1000 }, # max: 100; OPTIONAL AutoMLConfig => { MetricName => 'MyMetricName', # max: 256; OPTIONAL RecipeList => [ 'MyArn', ... # max: 256 ], # max: 100; OPTIONAL }, # OPTIONAL EventValueThreshold => 'MyEventValueThreshold', # max: 256; OPTIONAL FeatureTransformationParameters => { 'MyParameterName' => 'MyParameterValue', # key: max: 256, value: max: 1000 }, # max: 100; OPTIONAL HpoConfig => { AlgorithmHyperParameterRanges => { CategoricalHyperParameterRanges => [ { Name => 'MyParameterName', # max: 256 Values => [ 'MyCategoricalValue', ... # max: 1000 ], # max: 100; OPTIONAL }, ... ], # max: 100; OPTIONAL ContinuousHyperParameterRanges => [ { MaxValue => 1, # min: -1000000; OPTIONAL MinValue => 1, # min: -1000000; OPTIONAL Name => 'MyParameterName', # max: 256 }, ... ], # max: 100; OPTIONAL IntegerHyperParameterRanges => [ { MaxValue => 1, # max: 1000000; OPTIONAL MinValue => 1, # min: -1000000; OPTIONAL Name => 'MyParameterName', # max: 256 }, ... ], # max: 100; OPTIONAL }, # OPTIONAL HpoObjective => { MetricName => 'MyMetricName', # max: 256; OPTIONAL MetricRegex => 'MyMetricRegex', # max: 256; OPTIONAL Type => 'MyHPOObjectiveType', # max: 256; OPTIONAL }, # OPTIONAL HpoResourceConfig => { MaxNumberOfTrainingJobs => 'MyHPOResource', # max: 256; OPTIONAL MaxParallelTrainingJobs => 'MyHPOResource', # max: 256; OPTIONAL }, # OPTIONAL }, # OPTIONAL OptimizationObjective => { ItemAttribute => 'MyItemAttribute', # min: 1, max: 150; OPTIONAL ObjectiveSensitivity => 'LOW', # values: LOW, MEDIUM, HIGH, OFF; OPTIONAL }, # OPTIONAL }, # OPTIONAL ); # Results: my $SolutionArn = $CreateSolutionResponse->SolutionArn; # Returns a L<Paws::Personalize::CreateSolutionResponse> object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see <https://docs.aws.amazon.com/goto/WebAPI/personalize/CreateSolution> ATTRIBUTESREQUIRED DatasetGroupArn => StrThe Amazon Resource Name (ARN) of the dataset group that provides the training data. EventType => StrWhen your have multiple event types (using an "EVENT_TYPE" schema 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. REQUIRED Name => StrThe name for the solution. PerformAutoML => BoolWhether to perform automated machine learning (AutoML). The default is "false". For this case, you must specify "recipeArn". When set to "true", Amazon Personalize analyzes your training data and selects the optimal USER_PERSONALIZATION recipe and hyperparameters. In this case, you must omit "recipeArn". 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. PerformHPO => BoolWhether to perform hyperparameter optimization (HPO) on the specified or selected recipe. The default is "false". When performing AutoML, this parameter is always "true" and you should not set it to "false". RecipeArn => StrThe ARN of the recipe to use for model training. Only specified when "performAutoML" is false. SolutionConfig => Paws::Personalize::SolutionConfigThe configuration to use with the solution. When "performAutoML" is set to true, Amazon Personalize only evaluates the "autoMLConfig" section of the solution configuration. Amazon Personalize doesn't support configuring the "hpoObjective" at this time. SEE ALSOThis class forms part of Paws, documenting arguments for method CreateSolution in Paws::Personalize BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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