Data

Data integrity and quality are cornerstones for creating highly accurate predictive models. These sections describe the tools and visualizations DataRobot provides to ensure that your project doesn’t suffer the “garbage in, garbage out” outcome.

• Datasets
  • Creating A Dataset
  • Getting Information From A Dataset
  • Retrieving Datasets
  • Managing Datasets
  • Managing Dataset Featurelists
• Database Connectivity
  • Creating Drivers
  • Creating Connectors
  • Creating DataStores
  • Creating DataSources
  • Creating Projects
  • Creating Predictions
• Feature Discovery
  • Register Primary Dataset to start Project
  • Register Secondary Dataset(s) in AI Catalog
  • Create Dataset Definitions and Relationships using helper functions
  • Create Relationships Configuration
  • Create Feature Discovery Project
  • Start Training a Model
  • Create Secondary Datasets Configuration for prediction
  • Perform Prediction over trained model
  • Configure Relationships
  • Dataset Definitions and Relationships using helper functions
  • Dataset Definition and Relationship using dictionary
  • Retrieving Relationships Configuration
  • Updating details of Relationships Configuration
  • Delete Relationships Configuration
  • Secondary Dataset Configuration
  • Secondary Datasets using helper functions
  • Secondary Datasets using dict
  • Create Secondary Dataset Configuration
  • Retrieve Secondary Dataset Config
  • List All the Secondary Dataset Configs