/AWS1/CL_CRLTRAINEDMDELINFER02¶
Provides information about the trained model inference job.
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
iv_trainedmdelinferencejob00 TYPE /AWS1/CRLTRAINEDMDELINFERENC00 /AWS1/CRLTRAINEDMDELINFERENC00¶
The Amazon Resource Name (ARN) of the trained model inference job.
iv_membershipidentifier TYPE /AWS1/CRLUUID /AWS1/CRLUUID¶
The membership ID of the membership that contains the trained model inference job.
iv_trainedmodelarn TYPE /AWS1/CRLTRAINEDMODELARN /AWS1/CRLTRAINEDMODELARN¶
The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.
iv_collaborationidentifier TYPE /AWS1/CRLUUID /AWS1/CRLUUID¶
The collaboration ID of the collaboration that contains the trained model inference job.
iv_status TYPE /AWS1/CRLTRAINEDMDELINFERENC01 /AWS1/CRLTRAINEDMDELINFERENC01¶
The status of the trained model inference job.
io_outputconfiguration TYPE REF TO /AWS1/CL_CRLINFERENCEOUTCONF /AWS1/CL_CRLINFERENCEOUTCONF¶
The output configuration information of the trained model job.
iv_name TYPE /AWS1/CRLNAMESTRING /AWS1/CRLNAMESTRING¶
The name of the trained model inference job.
iv_createtime TYPE /AWS1/CRLTIMESTAMP /AWS1/CRLTIMESTAMP¶
The time at which the trained model inference job was created.
iv_updatetime TYPE /AWS1/CRLTIMESTAMP /AWS1/CRLTIMESTAMP¶
The most recent time at which the trained model inference job was updated.
Optional arguments:¶
iv_cfguredmdelalgassociati00 TYPE /AWS1/CRLCFGUREDMDELALGASSOC00 /AWS1/CRLCFGUREDMDELALGASSOC00¶
The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.
iv_trainedmodelversionid TYPE /AWS1/CRLUUID /AWS1/CRLUUID¶
The version identifier of the trained model that was used for inference in this job.
iv_description TYPE /AWS1/CRLRESOURCEDESCRIPTION /AWS1/CRLRESOURCEDESCRIPTION¶
The description of the trained model inference job.
iv_metricsstatus TYPE /AWS1/CRLMETRICSSTATUS /AWS1/CRLMETRICSSTATUS¶
The metric status of the trained model inference job.
iv_metricsstatusdetails TYPE /AWS1/CRLSTRING /AWS1/CRLSTRING¶
Details about the metrics status for the trained model inference job.
iv_logsstatus TYPE /AWS1/CRLLOGSSTATUS /AWS1/CRLLOGSSTATUS¶
The log status of the trained model inference job.
iv_logsstatusdetails TYPE /AWS1/CRLSTRING /AWS1/CRLSTRING¶
Details about the log status for the trained model inference job.
iv_mlmodelinfrncpayeracctid TYPE /AWS1/CRLACCOUNTID /AWS1/CRLACCOUNTID¶
The account ID of the member that is responsible for paying for model inference costs.
Queryable Attributes¶
trainedModelInferenceJobArn¶
The Amazon Resource Name (ARN) of the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAINEDMDELINFERENCEJO00() |
Getter for TRAINEDMODELINFERENCEJOBARN, with configurable de |
ASK_TRAINEDMDELINFERENCEJO00() |
Getter for TRAINEDMODELINFERENCEJOBARN w/ exceptions if fiel |
HAS_TRAINEDMDELINFERENCEJO00() |
Determine if TRAINEDMODELINFERENCEJOBARN has a value |
configuredModelAlgorithmAssociationArn¶
The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_CFGUREDMDELALGASSOCIAT01() |
Getter for CFGUREDMDELALGASSOCIATIONARN, with configurable d |
ASK_CFGUREDMDELALGASSOCIAT01() |
Getter for CFGUREDMDELALGASSOCIATIONARN w/ exceptions if fie |
HAS_CFGUREDMDELALGASSOCIAT01() |
Determine if CFGUREDMDELALGASSOCIATIONARN has a value |
membershipIdentifier¶
The membership ID of the membership that contains the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MEMBERSHIPIDENTIFIER() |
Getter for MEMBERSHIPIDENTIFIER, with configurable default |
ASK_MEMBERSHIPIDENTIFIER() |
Getter for MEMBERSHIPIDENTIFIER w/ exceptions if field has n |
HAS_MEMBERSHIPIDENTIFIER() |
Determine if MEMBERSHIPIDENTIFIER has a value |
trainedModelArn¶
The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAINEDMODELARN() |
Getter for TRAINEDMODELARN, with configurable default |
ASK_TRAINEDMODELARN() |
Getter for TRAINEDMODELARN w/ exceptions if field has no val |
HAS_TRAINEDMODELARN() |
Determine if TRAINEDMODELARN has a value |
trainedModelVersionIdentifier¶
The version identifier of the trained model that was used for inference in this job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAINEDMODELVERSIONID() |
Getter for TRAINEDMODELVERSIONID, with configurable default |
ASK_TRAINEDMODELVERSIONID() |
Getter for TRAINEDMODELVERSIONID w/ exceptions if field has |
HAS_TRAINEDMODELVERSIONID() |
Determine if TRAINEDMODELVERSIONID has a value |
collaborationIdentifier¶
The collaboration ID of the collaboration that contains the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_COLLABORATIONIDENTIFIER() |
Getter for COLLABORATIONIDENTIFIER, with configurable defaul |
ASK_COLLABORATIONIDENTIFIER() |
Getter for COLLABORATIONIDENTIFIER w/ exceptions if field ha |
HAS_COLLABORATIONIDENTIFIER() |
Determine if COLLABORATIONIDENTIFIER has a value |
status¶
The status of the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_STATUS() |
Getter for STATUS, with configurable default |
ASK_STATUS() |
Getter for STATUS w/ exceptions if field has no value |
HAS_STATUS() |
Determine if STATUS has a value |
outputConfiguration¶
The output configuration information of the trained model job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_OUTPUTCONFIGURATION() |
Getter for OUTPUTCONFIGURATION |
name¶
The name of the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_NAME() |
Getter for NAME, with configurable default |
ASK_NAME() |
Getter for NAME w/ exceptions if field has no value |
HAS_NAME() |
Determine if NAME has a value |
description¶
The description of the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_DESCRIPTION() |
Getter for DESCRIPTION, with configurable default |
ASK_DESCRIPTION() |
Getter for DESCRIPTION w/ exceptions if field has no value |
HAS_DESCRIPTION() |
Determine if DESCRIPTION has a value |
metricsStatus¶
The metric status of the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_METRICSSTATUS() |
Getter for METRICSSTATUS, with configurable default |
ASK_METRICSSTATUS() |
Getter for METRICSSTATUS w/ exceptions if field has no value |
HAS_METRICSSTATUS() |
Determine if METRICSSTATUS has a value |
metricsStatusDetails¶
Details about the metrics status for the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_METRICSSTATUSDETAILS() |
Getter for METRICSSTATUSDETAILS, with configurable default |
ASK_METRICSSTATUSDETAILS() |
Getter for METRICSSTATUSDETAILS w/ exceptions if field has n |
HAS_METRICSSTATUSDETAILS() |
Determine if METRICSSTATUSDETAILS has a value |
logsStatus¶
The log status of the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_LOGSSTATUS() |
Getter for LOGSSTATUS, with configurable default |
ASK_LOGSSTATUS() |
Getter for LOGSSTATUS w/ exceptions if field has no value |
HAS_LOGSSTATUS() |
Determine if LOGSSTATUS has a value |
logsStatusDetails¶
Details about the log status for the trained model inference job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_LOGSSTATUSDETAILS() |
Getter for LOGSSTATUSDETAILS, with configurable default |
ASK_LOGSSTATUSDETAILS() |
Getter for LOGSSTATUSDETAILS w/ exceptions if field has no v |
HAS_LOGSSTATUSDETAILS() |
Determine if LOGSSTATUSDETAILS has a value |
mlModelInferencePayerAccountId¶
The account ID of the member that is responsible for paying for model inference costs.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLMODELINFRNCPAYERACCTID() |
Getter for MLMODELINFRNCPAYERACCOUNTID, with configurable de |
ASK_MLMODELINFRNCPAYERACCTID() |
Getter for MLMODELINFRNCPAYERACCOUNTID w/ exceptions if fiel |
HAS_MLMODELINFRNCPAYERACCTID() |
Determine if MLMODELINFRNCPAYERACCOUNTID has a value |
createTime¶
The time at which the trained model inference job was created.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_CREATETIME() |
Getter for CREATETIME, with configurable default |
ASK_CREATETIME() |
Getter for CREATETIME w/ exceptions if field has no value |
HAS_CREATETIME() |
Determine if CREATETIME has a value |
updateTime¶
The most recent time at which the trained model inference job was updated.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_UPDATETIME() |
Getter for UPDATETIME, with configurable default |
ASK_UPDATETIME() |
Getter for UPDATETIME w/ exceptions if field has no value |
HAS_UPDATETIME() |
Determine if UPDATETIME has a value |
Public Local Types In This Class¶
Internal table types, representing arrays and maps of this class, are defined as local types:
TT_TRAINEDMODELINFERENCEJOBLST¶
TYPES TT_TRAINEDMODELINFERENCEJOBLST TYPE STANDARD TABLE OF REF TO /AWS1/CL_CRLTRAINEDMDELINFER02 WITH DEFAULT KEY
.