/AWS1/CL_PZZSOLUTIONCONFIG¶
Describes the configuration properties for the solution.
CONSTRUCTOR¶
IMPORTING¶
Optional arguments:¶
iv_eventvaluethreshold TYPE /AWS1/PZZEVENTVALUETHRESHOLD /AWS1/PZZEVENTVALUETHRESHOLD¶
Only events with a value greater than or equal to this threshold are used for training a model.
io_hpoconfig TYPE REF TO /AWS1/CL_PZZHPOCONFIG /AWS1/CL_PZZHPOCONFIG¶
Describes the properties for hyperparameter optimization (HPO).
it_algorithmhyperparameters TYPE /AWS1/CL_PZZHYPERPARAMETERS_W=>TT_HYPERPARAMETERS TT_HYPERPARAMETERS¶
Lists the algorithm hyperparameters and their values.
it_feattransformationparams TYPE /AWS1/CL_PZZFTTRANSFMTIONPRM00=>TT_FEATURETRANSFORMATIONPARAMS TT_FEATURETRANSFORMATIONPARAMS¶
Lists the feature transformation parameters.
io_automlconfig TYPE REF TO /AWS1/CL_PZZAUTOMLCONFIG /AWS1/CL_PZZAUTOMLCONFIG¶
The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
io_eventsconfig TYPE REF TO /AWS1/CL_PZZEVENTSCONFIG /AWS1/CL_PZZEVENTSCONFIG¶
Describes the configuration of an event, which includes a list of event parameters. You can specify up to 10 event parameters. Events are used in solution creation.
io_optimizationobjective TYPE REF TO /AWS1/CL_PZZOPTIMIZATIONOBJIVE /AWS1/CL_PZZOPTIMIZATIONOBJIVE¶
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
io_trainingdataconfig TYPE REF TO /AWS1/CL_PZZTRAININGDATACONFIG /AWS1/CL_PZZTRAININGDATACONFIG¶
Specifies the training data configuration to use when creating a custom solution version (trained model).
io_autotrainingconfig TYPE REF TO /AWS1/CL_PZZAUTOTRAININGCONFIG /AWS1/CL_PZZAUTOTRAININGCONFIG¶
Specifies the automatic training configuration to use.
Queryable Attributes¶
eventValueThreshold¶
Only events with a value greater than or equal to this threshold are used for training a model.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_EVENTVALUETHRESHOLD() |
Getter for EVENTVALUETHRESHOLD, with configurable default |
ASK_EVENTVALUETHRESHOLD() |
Getter for EVENTVALUETHRESHOLD w/ exceptions if field has no |
HAS_EVENTVALUETHRESHOLD() |
Determine if EVENTVALUETHRESHOLD has a value |
hpoConfig¶
Describes the properties for hyperparameter optimization (HPO).
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_HPOCONFIG() |
Getter for HPOCONFIG |
algorithmHyperParameters¶
Lists the algorithm hyperparameters and their values.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_ALGORITHMHYPERPARAMETERS() |
Getter for ALGORITHMHYPERPARAMETERS, with configurable defau |
ASK_ALGORITHMHYPERPARAMETERS() |
Getter for ALGORITHMHYPERPARAMETERS w/ exceptions if field h |
HAS_ALGORITHMHYPERPARAMETERS() |
Determine if ALGORITHMHYPERPARAMETERS has a value |
featureTransformationParameters¶
Lists the feature transformation parameters.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_FEATTRANSFORMATIONPARAMS() |
Getter for FEATURETRANSFORMATIONPARAMS, with configurable de |
ASK_FEATTRANSFORMATIONPARAMS() |
Getter for FEATURETRANSFORMATIONPARAMS w/ exceptions if fiel |
HAS_FEATTRANSFORMATIONPARAMS() |
Determine if FEATURETRANSFORMATIONPARAMS has a value |
autoMLConfig¶
The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_AUTOMLCONFIG() |
Getter for AUTOMLCONFIG |
eventsConfig¶
Describes the configuration of an event, which includes a list of event parameters. You can specify up to 10 event parameters. Events are used in solution creation.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_EVENTSCONFIG() |
Getter for EVENTSCONFIG |
optimizationObjective¶
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_OPTIMIZATIONOBJECTIVE() |
Getter for OPTIMIZATIONOBJECTIVE |
trainingDataConfig¶
Specifies the training data configuration to use when creating a custom solution version (trained model).
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_TRAININGDATACONFIG() |
Getter for TRAININGDATACONFIG |
autoTrainingConfig¶
Specifies the automatic training configuration to use.
Accessible with the following methods¶
| Method | Description |
|---|---|
GET_AUTOTRAININGCONFIG() |
Getter for AUTOTRAININGCONFIG |