/AWS1/IF_CRL=>LSTTRAINEDMODELINFERENCEJOBS()

About ListTrainedModelInferenceJobs

Returns a list of trained model inference jobs that match the request parameters.

Method Signature

METHODS /AWS1/IF_CRL~LSTTRAINEDMODELINFERENCEJOBS
  IMPORTING
    !IV_NEXTTOKEN TYPE /AWS1/CRLNEXTTOKEN OPTIONAL
    !IV_MAXRESULTS TYPE /AWS1/CRLMAXRESULTS OPTIONAL
    !IV_MEMBERSHIPIDENTIFIER TYPE /AWS1/CRLUUID OPTIONAL
    !IV_TRAINEDMODELARN TYPE /AWS1/CRLTRAINEDMODELARN OPTIONAL
    !IV_TRAINEDMODELVERSIONID TYPE /AWS1/CRLUUID OPTIONAL
  RETURNING
    VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_crllsttrainedmdelin01
  RAISING
    /AWS1/CX_CRLACCESSDENIEDEX
    /AWS1/CX_CRLTHROTTLINGEX
    /AWS1/CX_CRLVALIDATIONEX
    /AWS1/CX_CRLCLIENTEXC
    /AWS1/CX_CRLSERVEREXC
    /AWS1/CX_RT_TECHNICAL_GENERIC
    /AWS1/CX_RT_SERVICE_GENERIC.

IMPORTING

Required arguments:

iv_membershipidentifier TYPE /AWS1/CRLUUID /AWS1/CRLUUID

The membership

Optional arguments:

iv_nexttoken TYPE /AWS1/CRLNEXTTOKEN /AWS1/CRLNEXTTOKEN

The token value retrieved from a previous call to access the next page of results.

iv_maxresults TYPE /AWS1/CRLMAXRESULTS /AWS1/CRLMAXRESULTS

The maximum size of the results that is returned per call.

iv_trainedmodelarn TYPE /AWS1/CRLTRAINEDMODELARN /AWS1/CRLTRAINEDMODELARN

The Amazon Resource Name (ARN) of a trained model that was used to create the trained model inference jobs that you are interested in.

iv_trainedmodelversionid TYPE /AWS1/CRLUUID /AWS1/CRLUUID

The version identifier of the trained model to filter inference jobs by. When specified, only inference jobs that used this specific version of the trained model are returned.

RETURNING

oo_output TYPE REF TO /aws1/cl_crllsttrainedmdelin01 /AWS1/CL_CRLLSTTRAINEDMDELIN01

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->lsttrainedmodelinferencejobs(
  iv_maxresults = 123
  iv_membershipidentifier = |string|
  iv_nexttoken = |string|
  iv_trainedmodelarn = |string|
  iv_trainedmodelversionid = |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_trainedmdelinferencejobs( ) into lo_row.
    lo_row_1 = lo_row.
    IF lo_row_1 IS NOT INITIAL.
      lv_trainedmodelinferencejo = lo_row_1->get_trainedmdelinferencejo00( ).
      lv_configuredmodelalgorith = lo_row_1->get_cfguredmdelalgassociat01( ).
      lv_uuid = lo_row_1->get_membershipidentifier( ).
      lv_trainedmodelarn = lo_row_1->get_trainedmodelarn( ).
      lv_uuid = lo_row_1->get_trainedmodelversionid( ).
      lv_uuid = lo_row_1->get_collaborationidentifier( ).
      lv_trainedmodelinferencejo_1 = lo_row_1->get_status( ).
      lo_inferenceoutputconfigur = lo_row_1->get_outputconfiguration( ).
      IF lo_inferenceoutputconfigur IS NOT INITIAL.
        lv_string = lo_inferenceoutputconfigur->get_accept( ).
        LOOP AT lo_inferenceoutputconfigur->get_members( ) into lo_row_2.
          lo_row_3 = lo_row_2.
          IF lo_row_3 IS NOT INITIAL.
            lv_accountid = lo_row_3->get_accountid( ).
          ENDIF.
        ENDLOOP.
      ENDIF.
      lv_namestring = lo_row_1->get_name( ).
      lv_resourcedescription = lo_row_1->get_description( ).
      lv_metricsstatus = lo_row_1->get_metricsstatus( ).
      lv_string = lo_row_1->get_metricsstatusdetails( ).
      lv_logsstatus = lo_row_1->get_logsstatus( ).
      lv_string = lo_row_1->get_logsstatusdetails( ).
      lv_timestamp = lo_row_1->get_createtime( ).
      lv_timestamp = lo_row_1->get_updatetime( ).
    ENDIF.
  ENDLOOP.
ENDIF.