DataRobot Python package documentation

The DataRobot Python package is a client library for working with the DataRobot platform API. To access other clients and additional information about DataRobot’s APIs, visit the API documentation home.

Getting started

To get started with the Python client, reference DataRobot’s API Quickstart guide. This guide outlines how to configure your environment to use the API.

Additionally, try a sample problem with code examples.

Table of contents

• User Guide
  • Data
  • Modeling
  • Predictions
  • MLOps
  • Administration
  • Use Cases
• API Reference
  • Advanced Options
  • Advanced Tuning
  • Anomaly Assessment
  • API Object
  • Application
  • Automated Documentation
  • Batch Job
  • Batch Monitoring
  • Batch Predictions
  • Binary Data Helpers
  • Blueprint
  • Calendar File
  • Challenger
  • Champion Model Package
  • Class Mapping Aggregation Settings
  • Client Configuration
  • Clustering
  • Compliance Documentation Templates
  • Confusion Chart
  • Credentials
  • Custom Metrics
  • Custom Models
  • Custom Tasks
  • Data Engine Query Generator
  • Data Exports
  • Data Slices
  • Data Store
  • Database Connectivity
  • Dataset Definition
  • Datasets
  • Datetime Trend Plots
  • Deployment
  • Document Text Extraction
  • External Baseline Validation
  • External Scores and Insights
  • Feature
  • Restoring Discarded Features
  • Feature Association
  • Feature Association Matrix Details
  • Feature Association Featurelists
  • Feature Effects
  • Feature Lineage
  • Feature List
  • Generative AI
  • Insights
  • Job
  • Key-Values
  • Lift Chart
  • Missing Values Report
  • MLOpsEvent
  • ModelJob
  • Recommended Models
  • Models
  • OCR job resource
  • Pareto Front
  • Partitioning
  • PayoffMatrix
  • PredictJob
  • Prediction Dataset
  • Prediction Environment
  • Prediction Explanations
  • Predictions
  • PredictionServer
  • PrimeFile
  • Project
  • Rating Table
  • Recipes
  • Recipe Operations
  • Registered Model
  • Registry Jobs
  • Relationship
  • Relationships Configuration
  • ROC Curve
  • Ruleset
  • Secondary Dataset
  • Secondary Dataset Configurations
  • Segmented Modeling
  • SHAP
  • SharingAccess
  • SharingRole
  • Status Check Job
  • Training Predictions
  • Types
  • Use Cases
  • User Blueprints
  • VisualAI
  • Word Cloud
• Experimental API
  • Model
  • DatetimeModel
  • DataStore
  • RetrainingPolicy
  • RetrainingPolicyRun
  • DataMatching
  • DataMatchingQuery
  • ModelLineage
  • Notebook
  • NotebookScheduledRun
  • NotebookScheduledJob
  • ScheduledRunRevisionMetadata
  • ScheduledJobParam
  • ScheduledJobPayload
  • IncrementalLearningMetadata
  • DatasetChunkDefinition
  • DatasourceAICatalogInfo
  • DatasourceDataWarehouseInfo
  • DatasourceDefinition
  • Chunk
  • ChunkStorageType
  • OriginStorageType
  • ChunkStorage
  • DatasetDefinition
  • ChunkDefinitionStats
  • FeaturesChunkDefinition
  • RowsChunkDefinition
  • DynamicDatasetProps
  • DatasetInfo
  • DatasetProps
  • ChunkDefinition
• Changelog
  • 3.6.0rc0
  • 3.5.0
  • 3.4.1
  • 3.4.0
  • 3.3.0
  • 3.2.0
  • 3.1.1
  • 3.1.0
  • 3.0.3
  • 3.0.2
  • 3.0.1
  • 3.0.0
  • 2.29.0
  • 2.28.0
  • 2.27.0
  • 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

Index