DataRobot Batch Predictions API

Use the endpoints described below to generate predictions for a project.

Operations 50

GET /api/v2/batchJobs/ List batch jobs #
POST /api/v2/batchJobs/fromJobDefinition/ Launch a Batch job #
DELETE /api/v2/batchJobs/{batchJobId}/ Cancel a Batch job by batch job ID #
GET /api/v2/batchJobs/{batchJobId}/ Retrieve Batch job by batch job ID #
PUT /api/v2/batchJobs/{batchJobId}/csvUpload/ Stream CSV data by batch job ID #
GET /api/v2/batchJobs/{batchJobId}/download/ Download the scored data set of a batch job by batch job ID #
GET /api/v2/batchPredictionJobDefinitions/ List Batch Prediction job definitions #
POST /api/v2/batchPredictionJobDefinitions/ Creates a new Batch Prediction job definition #
DELETE /api/v2/batchPredictionJobDefinitions/{jobDefinitionId}/ Delete Batch Prediction job definition by job definition ID #
GET /api/v2/batchPredictionJobDefinitions/{jobDefinitionId}/ Retrieve Batch Prediction job definition by job definition ID #
PATCH /api/v2/batchPredictionJobDefinitions/{jobDefinitionId}/ Update Batch Prediction job definition by job definition ID #
GET /api/v2/batchPredictionJobDefinitions/{jobDefinitionId}/portable/ Retrieve job definition snippet by job definition ID #
GET /api/v2/batchPredictions/ List batch prediction jobs #
POST /api/v2/batchPredictions/ Creates a new Batch Prediction job #
POST /api/v2/batchPredictions/fromExisting/ Create a new a Batch Prediction job based #
POST /api/v2/batchPredictions/fromJobDefinition/ Launch a Batch Prediction job #
DELETE /api/v2/batchPredictions/{predictionJobId}/ Cancel a Batch Prediction job by prediction job ID #
GET /api/v2/batchPredictions/{predictionJobId}/ Retrieve Batch Prediction job by prediction job ID #
PATCH /api/v2/batchPredictions/{predictionJobId}/ Update a Batch Prediction job by prediction job ID #
PUT /api/v2/batchPredictions/{predictionJobId}/csvUpload/ Creates a new_model_id Batch Prediction job by prediction job ID #
POST /api/v2/batchPredictions/{predictionJobId}/csvUpload/finalizeMultipart/ Finalize a multipart upload by prediction job ID #
PUT /api/v2/batchPredictions/{predictionJobId}/csvUpload/part/{partNumber}/ Upload CSV data by prediction job ID #
GET /api/v2/batchPredictions/{predictionJobId}/download/ Download the scored data set of a batch prediction job by prediction job ID #
DELETE /api/v2/projects/{projectId}/models/{modelId}/predictionExplanationsInitialization/ Delete an existing PredictionExplanationsInitialization by project ID #
GET /api/v2/projects/{projectId}/models/{modelId}/predictionExplanationsInitialization/ Retrieve the current PredictionExplanationsInitialization by project ID #
POST /api/v2/projects/{projectId}/models/{modelId}/predictionExplanationsInitialization/ Create a new prediction explanations initialization by project ID #
GET /api/v2/projects/{projectId}/predictJobs/ List all prediction jobs by project ID #
DELETE /api/v2/projects/{projectId}/predictJobs/{jobId}/ Cancel a queued prediction job by project ID #
GET /api/v2/projects/{projectId}/predictJobs/{jobId}/ Look up a particular prediction job by project ID #
GET /api/v2/projects/{projectId}/predictionDatasets/ List prediction datasets uploaded by project ID #
POST /api/v2/projects/{projectId}/predictionDatasets/dataSourceUploads/ Upload a dataset by project ID #
POST /api/v2/projects/{projectId}/predictionDatasets/datasetUploads/ Create prediction dataset by project ID #
POST /api/v2/projects/{projectId}/predictionDatasets/fileUploads/ Upload a file by project ID #
POST /api/v2/projects/{projectId}/predictionDatasets/urlUploads/ Create URL uploads by ID #
DELETE /api/v2/projects/{projectId}/predictionDatasets/{datasetId}/ Delete a dataset that was uploaded by project ID #
GET /api/v2/projects/{projectId}/predictionDatasets/{datasetId}/ Get the metadata of a specific dataset by project ID #
POST /api/v2/projects/{projectId}/predictionExplanations/ Create a new PredictionExplanations object ( by project ID #
GET /api/v2/projects/{projectId}/predictionExplanations/{predictionExplanationsId}/ Retrieve stored Prediction Explanations by project ID #
GET /api/v2/projects/{projectId}/predictionExplanationsRecords/ List PredictionExplanationsRecord objects by project ID #
DELETE /api/v2/projects/{projectId}/predictionExplanationsRecords/{predictionExplanationsId}/ Delete saved Prediction Explanations by project ID #
GET /api/v2/projects/{projectId}/predictionExplanationsRecords/{predictionExplanationsId}/ Retrieve a PredictionExplanationsRecord object by project ID #
GET /api/v2/projects/{projectId}/predictions/ Get the list of prediction records by project ID #
POST /api/v2/projects/{projectId}/predictions/ Make new predictions by project ID #
GET /api/v2/projects/{projectId}/predictions/{predictionId}/ Get a completed set of predictions by project ID #
GET /api/v2/projects/{projectId}/predictionsMetadata/ Get the list of prediction metadata records by project ID #
GET /api/v2/projects/{projectId}/predictionsMetadata/{predictionId}/ Retrieve metadata by project ID #
GET /api/v2/projects/{projectId}/trainingPredictions/ List training prediction jobs by project ID #
POST /api/v2/projects/{projectId}/trainingPredictions/ Submits a job by project ID #
GET /api/v2/projects/{projectId}/trainingPredictions/{predictionId}/ Retrieve training predictions by project ID #
GET /api/v2/scheduledJobs/ List scheduled deployment batch prediction jobs a user can view #

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OpenAPI Specification

datarobot-batch-predictions-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  contact:
    email: support@datarobot.com
    name: DataRobot Support
    url: https://support.datarobot.com
  description: DataRobot's Public facing API
  license:
    name: DataRobot Tool and Utility Agreement
    url: https://www.datarobot.com/wp-content/uploads/2021/07/DataRobot-Tool-and-Utility-Agreement.pdf
  title: Public Batch Predictions API
  version: 2.49.0
  x-datarobot-release-version: Latest
servers:
- url: https://app.datarobot.com/
security:
- BearerAuth: []
tags:


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# Full source: https://artifacts.apis.io/datarobot/openapi/datarobot-batch-predictions-api-openapi.yml