UPDATERETRAININGSCHEDULER()`¶

About UpdateRetrainingScheduler¶

Updates a retraining scheduler.

Method Signature¶

METHODS /AWS1/IF_LOE~UPDATERETRAININGSCHEDULER
  IMPORTING
    !IV_MODELNAME TYPE /AWS1/LOEMODELNAME OPTIONAL
    !IV_RETRAININGSTARTDATE TYPE /AWS1/LOETIMESTAMP OPTIONAL
    !IV_RETRAININGFREQUENCY TYPE /AWS1/LOERETRAININGFREQUENCY OPTIONAL
    !IV_LOOKBACKWINDOW TYPE /AWS1/LOELOOKBACKWINDOW OPTIONAL
    !IV_PROMOTEMODE TYPE /AWS1/LOEMODELPROMOTEMODE OPTIONAL
  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 model whose retraining scheduler you want to update.

Optional arguments:¶

`iv_retrainingstartdate` `TYPE /AWS1/LOETIMESTAMP` `/AWS1/LOETIMESTAMP`¶

The start date for the retraining scheduler. Lookout for Equipment truncates the time you provide to the nearest UTC day.

`iv_retrainingfrequency` `TYPE /AWS1/LOERETRAININGFREQUENCY` `/AWS1/LOERETRAININGFREQUENCY`¶

This parameter uses the ISO 8601 standard to set the frequency at which you want retraining to occur in terms of Years, Months, and/or Days (note: other parameters like Time are not currently supported). The minimum value is 30 days (P30D) and the maximum value is 1 year (P1Y). For example, the following values are valid:

P3M15D – Every 3 months and 15 days

P2M – Every 2 months

P150D – Every 150 days

`iv_lookbackwindow` `TYPE /AWS1/LOELOOKBACKWINDOW` `/AWS1/LOELOOKBACKWINDOW`¶

The number of past days of data that will be used for retraining.

`iv_promotemode` `TYPE /AWS1/LOEMODELPROMOTEMODE` `/AWS1/LOEMODELPROMOTEMODE`¶

Indicates how the service will use new models. In MANAGED mode, new models will automatically be used for inference if they have better performance than the current model. In MANUAL mode, the new models will not be used until they are manually activated.

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.

lo_client->updateretrainingscheduler(
  iv_lookbackwindow = |string|
  iv_modelname = |string|
  iv_promotemode = |string|
  iv_retrainingfrequency = |string|
  iv_retrainingstartdate = '20150101000000.0000000'
).

Updates a retraining scheduler¶

lo_client->updateretrainingscheduler(
  iv_modelname = |sample-model|
  iv_retrainingfrequency = |P1Y|
  iv_retrainingstartdate = '20240101000000.0000000'
).

/AWS1/IF_LOE=>UPDATERETRAININGSCHEDULER()¶