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Imports a model that has been trained successfully

Source: R/lookoutequipment_operations.R
lookoutequipment_import_model_version.Rd

Imports a model that has been trained successfully.

See https://www.paws-r-sdk.com/docs/lookoutequipment_import_model_version/ for full documentation.

Usage

lookoutequipment_import_model_version(
  SourceModelVersionArn,
  ModelName = NULL,
  DatasetName,
  LabelsInputConfiguration = NULL,
  ClientToken,
  RoleArn = NULL,
  ServerSideKmsKeyId = NULL,
  Tags = NULL,
  InferenceDataImportStrategy = NULL
)

Arguments

SourceModelVersionArn

[required] The Amazon Resource Name (ARN) of the model version to import.

ModelName

The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment creates a new version. If you do not specify this field, it is filled with the name of the source model.

DatasetName

[required] The name of the dataset for the machine learning model being imported.

LabelsInputConfiguration

Contains the configuration information for the S3 location being used to hold label data.

ClientToken

[required] A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

RoleArn

The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the machine learning model.

ServerSideKmsKeyId

Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.

Tags

The tags associated with the machine learning model to be created.

InferenceDataImportStrategy

Indicates how to import the accumulated inference data when a model version is imported. The possible values are as follows:

  • NO_IMPORT – Don't import the data.

  • ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.

  • OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.