Predictions

The following sections describe the components to making predictions in DataRobot:

• Generate predictions: Initiate a prediction job with the Model.request_predictions() method. This method can use either a training dataset or predictions dataset for scoring.

• Batch predictions: Score large sets of data with batch predictions. You can define jobs and their schedule.

• Prediction API: Use DataRobot’s Prediction API. to make predictions on both a dedicated and/or a standalone prediction server.

• Scoring Code: Qualifying models allow you to export Scoring Code and use DataRobot-generated models outside of the platform

• Predictions
  • Starting predictions generation
  • Listing Predictions
  • Get an existing PredictJob
  • Get generated predictions
  • Wait for and Retrieve results
  • Get previously generated predictions
  • Quick reference
• Batch Predictions
  • Make batch predictions with a deployment
  • Scoring local CSV files
  • Scoring from and to S3
  • Scoring from and to Azure Cloud Storage
  • Scoring from and to Google Cloud Platform
  • Wiring a Batch Prediction Job manually
  • Copying a previously submitted job
  • Scoring an in-memory Pandas DataFrame
  • Batch Prediction Job Definitions
  • Job Definitions
  • Executing a job definition
  • The Schedule payload