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Imports a model that has been trained successfully

Description

Imports a model that has been trained successfully.

Usage

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

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.

Value

A list with the following syntax:

list(
  ModelName = "string",
  ModelArn = "string",
  ModelVersionArn = "string",
  ModelVersion = 123,
  Status = "IN_PROGRESS"|"SUCCESS"|"FAILED"|"IMPORT_IN_PROGRESS"|"CANCELED"
)

Request syntax

svc$import_model_version(
  SourceModelVersionArn = "string",
  ModelName = "string",
  DatasetName = "string",
  LabelsInputConfiguration = list(
    S3InputConfiguration = list(
      Bucket = "string",
      Prefix = "string"
    ),
    LabelGroupName = "string"
  ),
  ClientToken = "string",
  RoleArn = "string",
  ServerSideKmsKeyId = "string",
  Tags = list(
    list(
      Key = "string",
      Value = "string"
    )
  ),
  InferenceDataImportStrategy = "NO_IMPORT"|"ADD_WHEN_EMPTY"|"OVERWRITE"
)