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NAMEPaws::LookoutEquipment::CreateModel - Arguments for method CreateModel on Paws::LookoutEquipment DESCRIPTIONThis class represents the parameters used for calling the method CreateModel on the Amazon Lookout for Equipment service. Use the attributes of this class as arguments to method CreateModel. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateModel. SYNOPSISmy $lookoutequipment = Paws->service('LookoutEquipment'); my $CreateModelResponse = $lookoutequipment->CreateModel( ClientToken => 'MyIdempotenceToken', DatasetName => 'MyDatasetIdentifier', ModelName => 'MyModelName', DataPreProcessingConfiguration => { TargetSamplingRate => 'PT1S' , # values: PT1S, PT5S, PT10S, PT15S, PT30S, PT1M, PT5M, PT10M, PT15M, PT30M, PT1H; OPTIONAL }, # OPTIONAL DatasetSchema => { InlineDataSchema => 'MyInlineDataSchema', # min: 1, max: 1000000; OPTIONAL }, # OPTIONAL EvaluationDataEndTime => '1970-01-01T01:00:00', # OPTIONAL EvaluationDataStartTime => '1970-01-01T01:00:00', # OPTIONAL LabelsInputConfiguration => { S3InputConfiguration => { Bucket => 'MyS3Bucket', # min: 3, max: 63 Prefix => 'MyS3Prefix', # max: 1024; OPTIONAL }, }, # OPTIONAL RoleArn => 'MyIamRoleArn', # OPTIONAL ServerSideKmsKeyId => 'MyNameOrArn', # OPTIONAL Tags => [ { Key => 'MyTagKey', # min: 1, max: 128 Value => 'MyTagValue', # max: 256 }, ... ], # OPTIONAL TrainingDataEndTime => '1970-01-01T01:00:00', # OPTIONAL TrainingDataStartTime => '1970-01-01T01:00:00', # OPTIONAL ); # Results: my $ModelArn = $CreateModelResponse->ModelArn; my $Status = $CreateModelResponse->Status; # Returns a L<Paws::LookoutEquipment::CreateModelResponse> 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/lookoutequipment/CreateModel> ATTRIBUTESREQUIRED ClientToken => StrA unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one. DataPreProcessingConfiguration => Paws::LookoutEquipment::DataPreProcessingConfigurationThe configuration is the "TargetSamplingRate", which is the sampling rate of the data after post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the "TargetSamplingRate" is 1 minute. When providing a value for the "TargetSamplingRate", you must attach the prefix "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H REQUIRED DatasetName => StrThe name of the dataset for the ML model being created. DatasetSchema => Paws::LookoutEquipment::DatasetSchemaThe data schema for the ML model being created. EvaluationDataEndTime => StrIndicates the time reference in the dataset that should be used to end the subset of evaluation data for the ML model. EvaluationDataStartTime => StrIndicates the time reference in the dataset that should be used to begin the subset of evaluation data for the ML model. LabelsInputConfiguration => Paws::LookoutEquipment::LabelsInputConfigurationThe input configuration for the labels being used for the ML model that's being created. REQUIRED ModelName => StrThe name for the ML model to be created. RoleArn => StrThe Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the ML model. ServerSideKmsKeyId => StrProvides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for Equipment. Tags => ArrayRef[Paws::LookoutEquipment::Tag]Any tags associated with the ML model being created. TrainingDataEndTime => StrIndicates the time reference in the dataset that should be used to end the subset of training data for the ML model. TrainingDataStartTime => StrIndicates the time reference in the dataset that should be used to begin the subset of training data for the ML model. SEE ALSOThis class forms part of Paws, documenting arguments for method CreateModel in Paws::LookoutEquipment 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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