LISTTRAINEDMODELVERSIONS()`¶

About ListTrainedModelVersions¶

Returns a list of trained model versions for a specified trained model. This operation allows you to view all versions of a trained model, including information about their status and creation details. You can use this to track the evolution of your trained models and select specific versions for inference or further training.

Method Signature¶

IMPORTING¶

Required arguments:¶

`iv_membershipidentifier` `TYPE /AWS1/CRLUUID` `/AWS1/CRLUUID`¶

The membership identifier for the collaboration that contains the trained model.

`iv_trainedmodelarn` `TYPE /AWS1/CRLTRAINEDMODELARN` `/AWS1/CRLTRAINEDMODELARN`¶

The Amazon Resource Name (ARN) of the trained model for which to list versions.

Optional arguments:¶

`iv_nexttoken` `TYPE /AWS1/CRLNEXTTOKEN` `/AWS1/CRLNEXTTOKEN`¶

The pagination token from a previous ListTrainedModelVersions request. Use this token to retrieve the next page of results.

`iv_maxresults` `TYPE /AWS1/CRLMAXRESULTS` `/AWS1/CRLMAXRESULTS`¶

The maximum number of trained model versions to return in a single page. The default value is 10, and the maximum value is 100.

`iv_status` `TYPE /AWS1/CRLTRAINEDMODELSTATUS` `/AWS1/CRLTRAINEDMODELSTATUS`¶

Filter the results to only include trained model versions with the specified status. Valid values include CREATE_PENDING, CREATE_IN_PROGRESS, ACTIVE, CREATE_FAILED, and others.

RETURNING¶

`oo_output` `TYPE REF TO /aws1/cl_crllsttrainedmdelvr01` `/AWS1/CL_CRLLSTTRAINEDMDELVR01`¶

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->/aws1/if_crl~listtrainedmodelversions(
  iv_maxresults = 123
  iv_membershipidentifier = |string|
  iv_nexttoken = |string|
  iv_status = |string|
  iv_trainedmodelarn = |string|
).

This is an example of reading all possible response values

lo_result = lo_result.
IF lo_result IS NOT INITIAL.
  lv_nexttoken = lo_result->get_nexttoken( ).
  LOOP AT lo_result->get_trainedmodels( ) into lo_row.
    lo_row_1 = lo_row.
    IF lo_row_1 IS NOT INITIAL.
      lv_timestamp = lo_row_1->get_createtime( ).
      lv_timestamp = lo_row_1->get_updatetime( ).
      lv_trainedmodelarn = lo_row_1->get_trainedmodelarn( ).
      lv_uuid = lo_row_1->get_versionidentifier( ).
      LOOP AT lo_row_1->get_incrementaltrndatachnls( ) into lo_row_2.
        lo_row_3 = lo_row_2.
        IF lo_row_3 IS NOT INITIAL.
          lv_modeltrainingdatachanne = lo_row_3->get_channelname( ).
          lv_uuid = lo_row_3->get_versionidentifier( ).
          lv_namestring = lo_row_3->get_modelname( ).
        ENDIF.
      ENDLOOP.
      lv_namestring = lo_row_1->get_name( ).
      lv_resourcedescription = lo_row_1->get_description( ).
      lv_uuid = lo_row_1->get_membershipidentifier( ).
      lv_uuid = lo_row_1->get_collaborationidentifier( ).
      lv_trainedmodelstatus = lo_row_1->get_status( ).
      lv_configuredmodelalgorith = lo_row_1->get_cfguredmdelalgassociat01( ).
    ENDIF.
  ENDLOOP.
ENDIF.

/AWS1/IF_CRL=>LISTTRAINEDMODELVERSIONS()¶