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AppsDataRobot ToolsDatarobot Create Projects Training Predictions

DataRobot Tools

Datarobot Create Projects Training Predictions

Utilisez Datarobot Create Projects Training Predictions avec DataRobot Tools via Aident Loadout. Vérifiez les entrées, sorties, la configuration, le tarif et le risque avant exécution.

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Aident Loadout Aident Playbook Editor Open-CUAK

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Utiliser Datarobot Create Projects Training Predictions

Description du fournisseur

Tool to create training predictions for a DataRobot project. Use when you need to compute predictions on the training data using a trained model. Returns immediately with a status URL - computation happens asynchronously.

Tarifs et limites

Tarif: Action gratuite
Paiement unifié: Non pris en charge actuellement

Entrées

modelIdstring
Obligatoire
The model ID to make predictions with. Use DATAROBOT_LIST_MODEL_RECORDS to find available models in the project.
projectIdstring
Obligatoire
Project ID to compute training predictions for. Use DATAROBOT_LIST_PROJECTS to find available projects.
dataSubsetstring
Subset of data predicted on: 'all' returns predictions for all rows including training, validation, holdout and discarded rows (not available for large datasets or Date/Time partitioning). 'validationAndHoldout' returns predictions for validation and holdout scores (not availabl…
maxExplanationsinteger
Specifies the maximum number of explanation values that should be returned for each row, ordered by absolute value, greatest to least. Defaults to null for datasets narrower than 100 columns, 100 for wider datasets. Cannot be set if explanationAlgorithm is omitted.
explanationAlgorithmstring
If set to 'shap', the response will include prediction explanations based on the SHAP explainer (SHapley Additive exPlanations). Defaults to null (no prediction explanations).

Sortie observable

data
Obligatoire
Data from the action execution
errorstring
Error if any occurred during the execution of the action
successfulboolean
Obligatoire
Whether or not the action execution was successful or not

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