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/AWS1/CL_BDKGETCUSTOMMODELRSP

GetCustomModelResponse

CONSTRUCTOR

IMPORTING

Required arguments:

iv_modelarn TYPE /AWS1/BDKMODELARN /AWS1/BDKMODELARN

Amazon Resource Name (ARN) associated with this model.

iv_modelname TYPE /AWS1/BDKCUSTOMMODELNAME /AWS1/BDKCUSTOMMODELNAME

Model name associated with this model.

iv_creationtime TYPE /AWS1/BDKTIMESTAMP /AWS1/BDKTIMESTAMP

Creation time of the model.

Optional arguments:

iv_jobname TYPE /AWS1/BDKJOBNAME /AWS1/BDKJOBNAME

Job name associated with this model.

iv_jobarn TYPE /AWS1/BDKMDELCUSTIZATIONJOBARN /AWS1/BDKMDELCUSTIZATIONJOBARN

Job Amazon Resource Name (ARN) associated with this model. For models that you create with the CreateCustomModel API operation, this is NULL.

iv_basemodelarn TYPE /AWS1/BDKMODELARN /AWS1/BDKMODELARN

Amazon Resource Name (ARN) of the base model.

iv_customizationtype TYPE /AWS1/BDKCUSTOMIZATIONTYPE /AWS1/BDKCUSTOMIZATIONTYPE

The type of model customization.

iv_modelkmskeyarn TYPE /AWS1/BDKKMSKEYARN /AWS1/BDKKMSKEYARN

The custom model is encrypted at rest using this key.

it_hyperparameters TYPE /AWS1/CL_BDKMDELCUSTIZATIONH00=>TT_MODELCUSTIZATIONHYPERPARAMS TT_MODELCUSTIZATIONHYPERPARAMS

Hyperparameter values associated with this model. For details on the format for different models, see Custom model hyperparameters.

io_trainingdataconfig TYPE REF TO /AWS1/CL_BDKTRAININGDATACONFIG /AWS1/CL_BDKTRAININGDATACONFIG

Contains information about the training dataset.

io_validationdataconfig TYPE REF TO /AWS1/CL_BDKVALIDATIONDATACFG /AWS1/CL_BDKVALIDATIONDATACFG

Contains information about the validation dataset.

io_outputdataconfig TYPE REF TO /AWS1/CL_BDKOUTPUTDATACONFIG /AWS1/CL_BDKOUTPUTDATACONFIG

Output data configuration associated with this custom model.

io_trainingmetrics TYPE REF TO /AWS1/CL_BDKTRAININGMETRICS /AWS1/CL_BDKTRAININGMETRICS

Contains training metrics from the job creation.

it_validationmetrics TYPE /AWS1/CL_BDKVALIDATORMETRIC=>TT_VALIDATIONMETRICS TT_VALIDATIONMETRICS

The validation metrics from the job creation.

io_customizationconfig TYPE REF TO /AWS1/CL_BDKCUSTOMIZATIONCFG /AWS1/CL_BDKCUSTOMIZATIONCFG

The customization configuration for the custom model.

iv_modelstatus TYPE /AWS1/BDKMODELSTATUS /AWS1/BDKMODELSTATUS

The current status of the custom model. Possible values include:

  • Creating - The model is being created and validated.

  • Active - The model has been successfully created and is ready for use.

  • Failed - The model creation process failed. Check the failureMessage field for details.

iv_failuremessage TYPE /AWS1/BDKERRORMESSAGE /AWS1/BDKERRORMESSAGE

A failure message for any issues that occurred when creating the custom model. This is included for only a failed CreateCustomModel operation.


Queryable Attributes

modelArn

Amazon Resource Name (ARN) associated with this model.

Accessible with the following methods

Method Description
GET_MODELARN() Getter for MODELARN, with configurable default
ASK_MODELARN() Getter for MODELARN w/ exceptions if field has no value
HAS_MODELARN() Determine if MODELARN has a value

modelName

Model name associated with this model.

Accessible with the following methods

Method Description
GET_MODELNAME() Getter for MODELNAME, with configurable default
ASK_MODELNAME() Getter for MODELNAME w/ exceptions if field has no value
HAS_MODELNAME() Determine if MODELNAME has a value

jobName

Job name associated with this model.

Accessible with the following methods

Method Description
GET_JOBNAME() Getter for JOBNAME, with configurable default
ASK_JOBNAME() Getter for JOBNAME w/ exceptions if field has no value
HAS_JOBNAME() Determine if JOBNAME has a value

jobArn

Job Amazon Resource Name (ARN) associated with this model. For models that you create with the CreateCustomModel API operation, this is NULL.

Accessible with the following methods

Method Description
GET_JOBARN() Getter for JOBARN, with configurable default
ASK_JOBARN() Getter for JOBARN w/ exceptions if field has no value
HAS_JOBARN() Determine if JOBARN has a value

baseModelArn

Amazon Resource Name (ARN) of the base model.

Accessible with the following methods

Method Description
GET_BASEMODELARN() Getter for BASEMODELARN, with configurable default
ASK_BASEMODELARN() Getter for BASEMODELARN w/ exceptions if field has no value
HAS_BASEMODELARN() Determine if BASEMODELARN has a value

customizationType

The type of model customization.

Accessible with the following methods

Method Description
GET_CUSTOMIZATIONTYPE() Getter for CUSTOMIZATIONTYPE, with configurable default
ASK_CUSTOMIZATIONTYPE() Getter for CUSTOMIZATIONTYPE w/ exceptions if field has no v
HAS_CUSTOMIZATIONTYPE() Determine if CUSTOMIZATIONTYPE has a value

modelKmsKeyArn

The custom model is encrypted at rest using this key.

Accessible with the following methods

Method Description
GET_MODELKMSKEYARN() Getter for MODELKMSKEYARN, with configurable default
ASK_MODELKMSKEYARN() Getter for MODELKMSKEYARN w/ exceptions if field has no valu
HAS_MODELKMSKEYARN() Determine if MODELKMSKEYARN has a value

hyperParameters

Hyperparameter values associated with this model. For details on the format for different models, see Custom model hyperparameters.

Accessible with the following methods

Method Description
GET_HYPERPARAMETERS() Getter for HYPERPARAMETERS, with configurable default
ASK_HYPERPARAMETERS() Getter for HYPERPARAMETERS w/ exceptions if field has no val
HAS_HYPERPARAMETERS() Determine if HYPERPARAMETERS has a value

trainingDataConfig

Contains information about the training dataset.

Accessible with the following methods

Method Description
GET_TRAININGDATACONFIG() Getter for TRAININGDATACONFIG

validationDataConfig

Contains information about the validation dataset.

Accessible with the following methods

Method Description
GET_VALIDATIONDATACONFIG() Getter for VALIDATIONDATACONFIG

outputDataConfig

Output data configuration associated with this custom model.

Accessible with the following methods

Method Description
GET_OUTPUTDATACONFIG() Getter for OUTPUTDATACONFIG

trainingMetrics

Contains training metrics from the job creation.

Accessible with the following methods

Method Description
GET_TRAININGMETRICS() Getter for TRAININGMETRICS

validationMetrics

The validation metrics from the job creation.

Accessible with the following methods

Method Description
GET_VALIDATIONMETRICS() Getter for VALIDATIONMETRICS, with configurable default
ASK_VALIDATIONMETRICS() Getter for VALIDATIONMETRICS w/ exceptions if field has no v
HAS_VALIDATIONMETRICS() Determine if VALIDATIONMETRICS has a value

creationTime

Creation time of the model.

Accessible with the following methods

Method Description
GET_CREATIONTIME() Getter for CREATIONTIME, with configurable default
ASK_CREATIONTIME() Getter for CREATIONTIME w/ exceptions if field has no value
HAS_CREATIONTIME() Determine if CREATIONTIME has a value

customizationConfig

The customization configuration for the custom model.

Accessible with the following methods

Method Description
GET_CUSTOMIZATIONCONFIG() Getter for CUSTOMIZATIONCONFIG

modelStatus

The current status of the custom model. Possible values include:

  • Creating - The model is being created and validated.

  • Active - The model has been successfully created and is ready for use.

  • Failed - The model creation process failed. Check the failureMessage field for details.

Accessible with the following methods

Method Description
GET_MODELSTATUS() Getter for MODELSTATUS, with configurable default
ASK_MODELSTATUS() Getter for MODELSTATUS w/ exceptions if field has no value
HAS_MODELSTATUS() Determine if MODELSTATUS has a value

failureMessage

A failure message for any issues that occurred when creating the custom model. This is included for only a failed CreateCustomModel operation.

Accessible with the following methods

Method Description
GET_FAILUREMESSAGE() Getter for FAILUREMESSAGE, with configurable default
ASK_FAILUREMESSAGE() Getter for FAILUREMESSAGE w/ exceptions if field has no valu
HAS_FAILUREMESSAGE() Determine if FAILUREMESSAGE has a value