/AWS1/CL_NEDGETMLMDELTRNJOBOUT¶
GetMLModelTrainingJobOutput
CONSTRUCTOR¶
IMPORTING¶
Optional arguments:¶
iv_status TYPE /AWS1/NEDSTRING /AWS1/NEDSTRING¶
The status of the model training job.
iv_id TYPE /AWS1/NEDSTRING /AWS1/NEDSTRING¶
The unique identifier of this model-training job.
io_processingjob TYPE REF TO /AWS1/CL_NEDMLRESOURCEDEFN /AWS1/CL_NEDMLRESOURCEDEFN¶
The data processing job.
io_hpojob TYPE REF TO /AWS1/CL_NEDMLRESOURCEDEFN /AWS1/CL_NEDMLRESOURCEDEFN¶
The HPO job.
io_modeltransformjob TYPE REF TO /AWS1/CL_NEDMLRESOURCEDEFN /AWS1/CL_NEDMLRESOURCEDEFN¶
The model transform job.
it_mlmodels TYPE /AWS1/CL_NEDMLCONFIGDEFINITION=>TT_MLMODELS TT_MLMODELS¶
A list of the configurations of the ML models being used.
Queryable Attributes¶
status¶
The status of the model training 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 |
id¶
The unique identifier of this model-training job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_ID() |
Getter for ID, with configurable default |
ASK_ID() |
Getter for ID w/ exceptions if field has no value |
HAS_ID() |
Determine if ID has a value |
processingJob¶
The data processing job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_PROCESSINGJOB() |
Getter for PROCESSINGJOB |
hpoJob¶
The HPO job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HPOJOB() |
Getter for HPOJOB |
modelTransformJob¶
The model transform job.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MODELTRANSFORMJOB() |
Getter for MODELTRANSFORMJOB |
mlModels¶
A list of the configurations of the ML models being used.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_MLMODELS() |
Getter for MLMODELS, with configurable default |
ASK_MLMODELS() |
Getter for MLMODELS w/ exceptions if field has no value |
HAS_MLMODELS() |
Determine if MLMODELS has a value |