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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. SYNOPSIS my $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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