/AWS1/CL_CRLGETCOLLABORATION05¶
GetCollaborationTrainedModelResponse
CONSTRUCTOR¶
IMPORTING¶
Required arguments:¶
iv_membershipidentifier TYPE /AWS1/CRLUUID /AWS1/CRLUUID¶
The membership ID of the member that created the trained model.
iv_collaborationidentifier TYPE /AWS1/CRLUUID /AWS1/CRLUUID¶
The collaboration ID of the collaboration that contains the trained model.
iv_trainedmodelarn TYPE /AWS1/CRLTRAINEDMODELARN /AWS1/CRLTRAINEDMODELARN¶
The Amazon Resource Name (ARN) of the trained model.
iv_name TYPE /AWS1/CRLNAMESTRING /AWS1/CRLNAMESTRING¶
The name of the trained model.
iv_status TYPE /AWS1/CRLTRAINEDMODELSTATUS /AWS1/CRLTRAINEDMODELSTATUS¶
The status of the trained model.
iv_cfguredmdelalgassociati00 TYPE /AWS1/CRLCFGUREDMDELALGASSOC00 /AWS1/CRLCFGUREDMDELALGASSOC00¶
The Amazon Resource Name (ARN) of the configured model algorithm association that was used to create this trained model.
iv_createtime TYPE /AWS1/CRLTIMESTAMP /AWS1/CRLTIMESTAMP¶
The time at which the trained model was created.
iv_updatetime TYPE /AWS1/CRLTIMESTAMP /AWS1/CRLTIMESTAMP¶
The most recent time at which the trained model was updated.
iv_creatoraccountid TYPE /AWS1/CRLACCOUNTID /AWS1/CRLACCOUNTID¶
The account ID of the member that created the trained model.
Optional arguments:¶
iv_versionidentifier TYPE /AWS1/CRLUUID /AWS1/CRLUUID¶
The version identifier of the trained model. This unique identifier distinguishes this version from other versions of the same trained model.
it_incrementaltrndatachnls TYPE /AWS1/CL_CRLINCREMENTALTRNDA00=>TT_INCREMENTALTRNDATACHNLSOUT TT_INCREMENTALTRNDATACHNLSOUT¶
Information about the incremental training data channels used to create this version of the trained model. This includes details about the base model that was used for incremental training and the channel configuration.
iv_description TYPE /AWS1/CRLRESOURCEDESCRIPTION /AWS1/CRLRESOURCEDESCRIPTION¶
The description of the trained model.
io_statusdetails TYPE REF TO /AWS1/CL_CRLSTATUSDETAILS /AWS1/CL_CRLSTATUSDETAILS¶
statusDetails
io_resourceconfig TYPE REF TO /AWS1/CL_CRLRESOURCECONFIG /AWS1/CL_CRLRESOURCECONFIG¶
The EC2 resource configuration that was used to train this model.
iv_traininginputmode TYPE /AWS1/CRLTRAININGINPUTMODE /AWS1/CRLTRAININGINPUTMODE¶
The input mode that was used for accessing the training data when this trained model was created. This indicates how the training data was made available to the training algorithm.
io_stoppingcondition TYPE REF TO /AWS1/CL_CRLSTOPPINGCONDITION /AWS1/CL_CRLSTOPPINGCONDITION¶
The stopping condition that determined when model training ended.
iv_metricsstatus TYPE /AWS1/CRLMETRICSSTATUS /AWS1/CRLMETRICSSTATUS¶
The status of the model metrics.
iv_metricsstatusdetails TYPE /AWS1/CRLSTRING /AWS1/CRLSTRING¶
Details about the status information for the model metrics.
iv_logsstatus TYPE /AWS1/CRLLOGSSTATUS /AWS1/CRLLOGSSTATUS¶
Status information for the logs.
iv_logsstatusdetails TYPE /AWS1/CRLSTRING /AWS1/CRLSTRING¶
Details about the status information for the logs.
iv_trncontainerimagedigest TYPE /AWS1/CRLSTRING /AWS1/CRLSTRING¶
Information about the training container image.
Queryable Attributes¶
membershipIdentifier¶
The membership ID of the member that created the trained model.
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 |
collaborationIdentifier¶
The collaboration ID of the collaboration that contains the trained model.
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 |
trainedModelArn¶
The Amazon Resource Name (ARN) of the trained model.
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 |
versionIdentifier¶
The version identifier of the trained model. This unique identifier distinguishes this version from other versions of the same trained model.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_VERSIONIDENTIFIER() |
Getter for VERSIONIDENTIFIER, with configurable default |
ASK_VERSIONIDENTIFIER() |
Getter for VERSIONIDENTIFIER w/ exceptions if field has no v |
HAS_VERSIONIDENTIFIER() |
Determine if VERSIONIDENTIFIER has a value |
incrementalTrainingDataChannels¶
Information about the incremental training data channels used to create this version of the trained model. This includes details about the base model that was used for incremental training and the channel configuration.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_INCREMENTALTRNDATACHNLS() |
Getter for INCREMENTALTRNDATACHANNELS, with configurable def |
ASK_INCREMENTALTRNDATACHNLS() |
Getter for INCREMENTALTRNDATACHANNELS w/ exceptions if field |
HAS_INCREMENTALTRNDATACHNLS() |
Determine if INCREMENTALTRNDATACHANNELS has a value |
name¶
The name of the trained model.
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.
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 |
status¶
The status of the trained model.
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 |
statusDetails¶
statusDetails
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_STATUSDETAILS() |
Getter for STATUSDETAILS |
configuredModelAlgorithmAssociationArn¶
The Amazon Resource Name (ARN) of the configured model algorithm association that was used to create this trained model.
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 |
resourceConfig¶
The EC2 resource configuration that was used to train this model.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_RESOURCECONFIG() |
Getter for RESOURCECONFIG |
trainingInputMode¶
The input mode that was used for accessing the training data when this trained model was created. This indicates how the training data was made available to the training algorithm.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAININGINPUTMODE() |
Getter for TRAININGINPUTMODE, with configurable default |
ASK_TRAININGINPUTMODE() |
Getter for TRAININGINPUTMODE w/ exceptions if field has no v |
HAS_TRAININGINPUTMODE() |
Determine if TRAININGINPUTMODE has a value |
stoppingCondition¶
The stopping condition that determined when model training ended.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_STOPPINGCONDITION() |
Getter for STOPPINGCONDITION |
metricsStatus¶
The status of the model metrics.
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 status information for the model metrics.
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¶
Status information for the logs.
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 status information for the logs.
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 |
trainingContainerImageDigest¶
Information about the training container image.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRNCONTAINERIMAGEDIGEST() |
Getter for TRAININGCONTAINERIMAGEDIGEST, with configurable d |
ASK_TRNCONTAINERIMAGEDIGEST() |
Getter for TRAININGCONTAINERIMAGEDIGEST w/ exceptions if fie |
HAS_TRNCONTAINERIMAGEDIGEST() |
Determine if TRAININGCONTAINERIMAGEDIGEST has a value |
createTime¶
The time at which the trained model 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 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 |
creatorAccountId¶
The account ID of the member that created the trained model.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_CREATORACCOUNTID() |
Getter for CREATORACCOUNTID, with configurable default |
ASK_CREATORACCOUNTID() |
Getter for CREATORACCOUNTID w/ exceptions if field has no va |
HAS_CREATORACCOUNTID() |
Determine if CREATORACCOUNTID has a value |