/AWS1/IF_LOE=>UPDATEACTIVEMODELVERSION()¶
About UpdateActiveModelVersion¶
Sets the active model version for a given machine learning model.
Method Signature¶
METHODS /AWS1/IF_LOE~UPDATEACTIVEMODELVERSION
IMPORTING
!IV_MODELNAME TYPE /AWS1/LOEMODELNAME OPTIONAL
!IV_MODELVERSION TYPE /AWS1/LOEMODELVERSION OPTIONAL
RETURNING
VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_loeupdactmodelvrsrsp
RAISING
/AWS1/CX_LOEACCESSDENIEDEX
/AWS1/CX_LOECONFLICTEXCEPTION
/AWS1/CX_LOEINTERNALSERVEREX
/AWS1/CX_LOERESOURCENOTFOUNDEX
/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_modelname TYPE /AWS1/LOEMODELNAME /AWS1/LOEMODELNAME¶
The name of the machine learning model for which the active model version is being set.
iv_modelversion TYPE /AWS1/LOEMODELVERSION /AWS1/LOEMODELVERSION¶
The version of the machine learning model for which the active model version is being set.
RETURNING¶
oo_output TYPE REF TO /aws1/cl_loeupdactmodelvrsrsp /AWS1/CL_LOEUPDACTMODELVRSRSP¶
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->updateactivemodelversion(
iv_modelname = |string|
iv_modelversion = 123
).
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_modelversion = lo_result->get_currentactiveversion( ).
lv_modelversion = lo_result->get_previousactiveversion( ).
lv_modelversionarn = lo_result->get_currentactiveversionarn( ).
lv_modelversionarn = lo_result->get_previousactiveversionarn( ).
ENDIF.