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/AWS1/IF_LOE=>IMPORTMODELVERSION()

About ImportModelVersion

Imports a model that has been trained successfully.

Method Signature

METHODS /AWS1/IF_LOE~IMPORTMODELVERSION
  IMPORTING
    !IV_SOURCEMODELVERSIONARN TYPE /AWS1/LOEMODELVERSIONARN OPTIONAL
    !IV_MODELNAME TYPE /AWS1/LOEMODELNAME OPTIONAL
    !IV_DATASETNAME TYPE /AWS1/LOEDATASETIDENTIFIER OPTIONAL
    !IO_LABELSINPUTCONFIGURATION TYPE REF TO /AWS1/CL_LOELABELSINPUTCONF OPTIONAL
    !IV_CLIENTTOKEN TYPE /AWS1/LOEIDEMPOTENCETOKEN OPTIONAL
    !IV_ROLEARN TYPE /AWS1/LOEIAMROLEARN OPTIONAL
    !IV_SERVERSIDEKMSKEYID TYPE /AWS1/LOENAMEORARN OPTIONAL
    !IT_TAGS TYPE /AWS1/CL_LOETAG=>TT_TAGLIST OPTIONAL
    !IV_INFERENCEDATAIMPORTSTRAG TYPE /AWS1/LOEINFERENCEDATAIMPSTRAG OPTIONAL
  RETURNING
    VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_loeimportmodelvrsrsp
  RAISING
    /AWS1/CX_LOEACCESSDENIEDEX
    /AWS1/CX_LOECONFLICTEXCEPTION
    /AWS1/CX_LOEINTERNALSERVEREX
    /AWS1/CX_LOERESOURCENOTFOUNDEX
    /AWS1/CX_LOESERVICEQUOTAEXCDEX
    /AWS1/CX_LOETHROTTLINGEX
    /AWS1/CX_LOEVALIDATIONEX
    /AWS1/CX_LOECLIENTEXC
    /AWS1/CX_LOESERVEREXC
    /AWS1/CX_RT_TECHNICAL_GENERIC
    /AWS1/CX_RT_SERVICE_GENERIC.

IMPORTING

Required arguments:

iv_sourcemodelversionarn TYPE /AWS1/LOEMODELVERSIONARN /AWS1/LOEMODELVERSIONARN

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

iv_datasetname TYPE /AWS1/LOEDATASETIDENTIFIER /AWS1/LOEDATASETIDENTIFIER

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

iv_clienttoken TYPE /AWS1/LOEIDEMPOTENCETOKEN /AWS1/LOEIDEMPOTENCETOKEN

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

Optional arguments:

iv_modelname TYPE /AWS1/LOEMODELNAME /AWS1/LOEMODELNAME

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.

io_labelsinputconfiguration TYPE REF TO /AWS1/CL_LOELABELSINPUTCONF /AWS1/CL_LOELABELSINPUTCONF

LabelsInputConfiguration

iv_rolearn TYPE /AWS1/LOEIAMROLEARN /AWS1/LOEIAMROLEARN

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

iv_serversidekmskeyid TYPE /AWS1/LOENAMEORARN /AWS1/LOENAMEORARN

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

it_tags TYPE /AWS1/CL_LOETAG=>TT_TAGLIST TT_TAGLIST

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

iv_inferencedataimportstrag TYPE /AWS1/LOEINFERENCEDATAIMPSTRAG /AWS1/LOEINFERENCEDATAIMPSTRAG

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.

RETURNING

oo_output TYPE REF TO /aws1/cl_loeimportmodelvrsrsp /AWS1/CL_LOEIMPORTMODELVRSRSP

Domain /AWS1/RT_ACCOUNT_ID
Primitive Type NUMC

Examples

Syntax Example

This is an example of the syntax for calling the method. It includes every possible argument and initializes every possible value. The data provided is not necessarily semantically accurate (for example the value "string" may be provided for something that is intended to be an instance ID, or in some cases two arguments may be mutually exclusive). The syntax shows the ABAP syntax for creating the various data structures.

DATA(lo_result) = lo_client->importmodelversion(
  io_labelsinputconfiguration = new /aws1/cl_loelabelsinputconf(
    io_s3inputconfiguration = new /aws1/cl_loelabelss3inputconf(
      iv_bucket = |string|
      iv_prefix = |string|
    )
    iv_labelgroupname = |string|
  )
  it_tags = VALUE /aws1/cl_loetag=>tt_taglist(
    (
      new /aws1/cl_loetag(
        iv_key = |string|
        iv_value = |string|
      )
    )
  )
  iv_clienttoken = |string|
  iv_datasetname = |string|
  iv_inferencedataimportstrag = |string|
  iv_modelname = |string|
  iv_rolearn = |string|
  iv_serversidekmskeyid = |string|
  iv_sourcemodelversionarn = |string|
).

This is an example of reading all possible response values

lo_result = lo_result.
IF lo_result IS NOT INITIAL.
  lv_modelname = lo_result->get_modelname( ).
  lv_modelarn = lo_result->get_modelarn( ).
  lv_modelversionarn = lo_result->get_modelversionarn( ).
  lv_modelversion = lo_result->get_modelversion( ).
  lv_modelversionstatus = lo_result->get_status( ).
ENDIF.