DataRobot Python Package

• Getting Started
  • Installation
  • Configuration
  • Common Issues
• Configuration
  • Configurable Variables
  • Proxy support
• QuickStart
• Datasets
  • Creating A Dataset
  • Getting Information From A Dataset
  • Retrieving Datasets
  • Managing Datasets
  • Managing Dataset Featurelists
• Projects
  • Create a Project
  • Select Modeling Parameters
  • Start Modeling
  • Interact with a Project
  • Further reading
• Datetime Partitioned Projects
  • Setting Up a Datetime Partitioned Project
  • Modeling with a Datetime Partitioned Project
  • Accuracy Over Time Plots
  • Dates, Datetimes, and Durations
• Time Series Projects
  • Setting Up A Time Series Project
  • Modeling Data and Time Series Features
  • Making Predictions
  • Calendars
  • Datetime Trend Plots
  • Prediction Intervals
  • Partial History Predictions
  • External Baseline Predictions
• Visual AI Projects
  • Create a Visual AI Project
  • Start Modeling
  • Interact with a Visual AI Project
• Unsupervised Projects (Anomaly Detection)
  • Creating Unsupervised Projects
  • Creating Time Series Unsupervised Projects
  • Unsupervised Project Metrics
  • Estimating Accuracy of Unsupervised Anomaly Detection Datetime Partitioned Models
  • Explaining Unsupervised Time Series Anomaly Detection Models Predictions
  • Assessing Unsupervised Anomaly Detection Models on External Test Set
  • Requesting External Scores and Insights (Time Series)
  • Requesting External Scores and Insights for AutoML models
  • Retrieving External Scores and Insights
• Blueprints
  • Quick Reference
  • List Blueprints
  • Get a blueprint
  • Get a blueprint chart
  • Get a blueprint documentation
  • Blueprint Attributes
  • Create a Model from a Blueprint
• Models
  • Start Training a Model
  • List Finished Models
  • Retrieve a Known Model
  • Train a Model on a Different Sample Size
  • Cross-Validating a Model
  • Find the Features Used
  • Feature Impact
  • Feature Effects
  • Predict new data
  • Model IDs Vs. Blueprint IDs
  • Model parameters
  • Create a Blender
  • Lift chart retrieval
  • ROC curve retrieval
  • Residuals chart retrieval
  • Word Cloud
  • Scoring Code
  • Get a model blueprint chart
  • Get a model missing values report
  • Get a blueprint documentation
  • Request training predictions
  • Advanced Tuning
  • SHAP Impact
  • Number of Iterations Trained
• Jobs
  • Checking the Contents of the Queue
  • Cancelling a Job
  • Retrieving Results From a Job
• ModelJobs
  • Get an existing ModelJob
  • Get created model
  • wait_for_async_model_creation function
• Predictions
  • Starting predictions generation
  • Listing Predictions
  • Get an existing PredictJob
  • Get generated predictions
  • Wait for and Retrieve results
  • Get previously generated predictions
• Prediction Explanations
  • Quick Reference
  • List Prediction Explanations
  • Initialize Prediction Explanations
  • Compute Prediction Explanations
  • Retrieving Prediction Explanations
  • Adjusted Predictions In Prediction Explanations
  • Deprecated Reason Codes Interface
  • SHAP based prediction explanations
• Batch Predictions
  • 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
  • Disabling a scheduled job
• DataRobot Prime
  • Approximate a Model
  • Prime Models vs. Models
  • Retrieving Code from a PrimeModel
• Rating Table
  • Download A Rating Table
  • Uploading A Rating Table
• Training Predictions
  • Quick reference
• Monotonic Constraints
  • Creating featurelists
  • Specify default monotonic constraints for a project
  • Retrieve models and blueprints using monotonic constraints
  • Train a model with specific monotonic constraints
• Database Connectivity
  • Creating Drivers
  • Creating Connectors
  • Creating DataStores
  • Creating DataSources
  • Creating Projects
  • Creating Predictions
• Model Recommendation
  • Retrieve all recommendations
  • Retrieve a default recommendation
  • Retrieve a specific recommendation
  • Get recommended model
• Sharing
  • Access Levels
  • Examples
• Deployments
  • Manage Deployments
  • Model Replacement
  • Monitoring
  • Settings
• Custom Models
  • Manage Execution Environments
  • Manage Custom Models
  • Manage Custom Model Versions
  • Preparing a Custom Model Version for Use
  • Manage Custom Model Tests
• Custom Tasks
  • Manage Custom Tasks
  • Manage Custom Task Versions
  • Preparing a Custom Task Version for Use
• Compliance Documentation
  • Generate and Download
• Compliance Documentation Template
  • Creating a Custom Template
• Automated Documentation
  • Check Available Document Types
  • Generate Automated Documents
  • Download Automated Documents
  • List Previously Generated Automated Documents
  • Delete Automated Documents
• Credentials
  • List credentials
  • Basic credentials
  • S3 credentials
  • OAUTH credentials
  • Credential Data
• External Testset
  • Requesting External Scores and Insights
  • Retrieving External Metric Scores and Insights
  • Retrieving External Metric Scores
  • Retrieving External Lift Chart
  • Retrieving External Multiclass Lift Chart
  • Retrieving External ROC Curve
  • Retrieving Multiclass Confusion Matrix
  • Retrieving Residuals Chart
• 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
• Relationships Configuration
  • Create Relationships Configuration
  • Retrieving Relationships Configuration
  • Updating details of Relationships Configuration
  • Delete Relationships Configuration
• Secondary Dataset Config
  • Secondary Datasets using helper functions
  • Secondary Datasets using dict
• API Reference
  • Advanced Options
  • Anomaly Assessment
  • Batch Predictions
  • Blueprint
  • Calendar File
  • Automated Documentation
  • Compliance Documentation Templates
  • Compliance Documentation
  • Confusion Chart
  • Credentials
  • Custom Models
  • Custom Tasks
  • Database Connectivity
  • Datasets
  • Datetime Trend Plots
  • Deployment
  • External Scores and Insights
  • Feature
  • Feature Association
  • Feature Association Matrix Details
  • Feature Association Featurelists
  • Feature Discovery
  • Feature Effects
  • Feature Fit
  • Feature List
  • Job
  • Lift Chart
  • Missing Values Report
  • Models
  • ModelJob
  • Pareto Front
  • Partitioning
  • PayoffMatrix
  • PredictJob
  • Prediction Dataset
  • Prediction Explanations
  • Predictions
  • PredictionServer
  • PrimeFile
  • Project
  • Rating Table
  • Reason Codes (Deprecated)
  • Recommended Models
  • ROC Curve
  • Ruleset
  • SHAP
  • SharingAccess
  • Training Predictions
  • VisualAI
  • Word Cloud
• Examples
  • Downloads
  • Example Jupyter Notebooks
  • Example Python Source
• Changelog
  • v2.26.2
  • 2.26.1
  • 2.26.0
  • 2.25.0
  • 2.24.0
  • 2.23.0
  • 2.22.1
  • 2.21.0
  • 2.20.0
  • 2.19.0
  • 2.18.0
  • 2.17.0
  • 2.16.0
  • 2.15.1
  • 2.15.0
  • 2.14.2
  • 2.14.1
  • 2.14.0
  • 2.13.0
  • 2.12.0
  • 2.11.0
  • 2.9.0
  • 2.8.1
  • 2.8.0
  • 2.7.2
  • 2.7.1
  • 2.7.0
  • 2.6.1
  • 2.6.0
  • 2.5.1
  • 2.5.0
  • 2.4.0
  • 2.3.0
  • 2.2.33
  • 2.2.32
  • 2.1.31
  • 2.1.30
  • 2.1.29
  • 2.1.28
  • 2.0.27
  • 0.2.26
  • 0.2.25
  • 0.2.24
  • 0.1.24
  • 0.1.23
  • 0.1.22
  • 0.1.21
  • 0.1.20
  • 0.1.19
  • 0.1.18
  • 0.1.17
  • 0.1.16
  • 0.1.15
  • 0.1.14
  • 0.1.13
  • 0.1.12
  • 0.1.11
  • 0.1.10
  • 0.1.9

Indices and tables

• Index
• Module Index
• Search Page