Welcome to Using R with DataRobot!

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Welcome to Using R with DataRobot!

This page will help you get started with using the datarobot R package to interact with DataRobot. You can import data, build models, evaluate metrics, and make predictions right from the R console.

There are several advantages to interacting with DataRobot programmatically:

  • You can set up a series of tasks and walk away while DataRobot and R do the rest.
  • You can get more customized analyses by combining the power of R with the various outputs you can get from DataRobot.
  • You can more easily reproduce prior results with code.

You can find the full documentation of the datarobot R package here.

Code samples

You can access code samples on our public DataRobot Community github. This section lists the currently available samples and provides links to the related GitHub locations.

Different DataRobot API Endpoints

The API endpoint you specify for accessing DataRobot is dependent on the deployment environment, as follows:

API Highlights 

DataRobot API highlights to go through.

API Training
Prediction Explanations Clustering
Advanced Feature Selection
Time Series Model Factory
Model Factory with Readmissions Dataset

Initiating Projects

Learn how to get started with R and DataRobot by importing data and starting a project.

Starting a Binary Classification Project
Starting a Multiclass Classification Project
Starting a Regression Project
Starting a TIme Series Project
Starting a Project with Selected Blueprints

Advanced tuning and Partitioning

Learn how to customize components of the modeling process.

Advanced Tuning
Datetime Partitioning

Model Evaluation

Learn how to export and visualize key metrics for evaluating and interpreting your models.

Getting Confusion Chart
Getting Feature Impact
Getting Lift Chart
Getting ROC Curve
Getting Word Cloud

Compliance Docs

Learn how to download full documentation files for the models you created.

Getting Compliance Documentation

Feature Lists Manipulation

Learn how to manipulate feature lists and do advanced feature selection.

Advanced Feature Selection
Feature Lists Manipulations
Transforming Feature Types

Make Predictions

Learn how to make predictions in DataRobot from R.

Getting Predictions from Prediction Explanations

Model Management

Learn how to manage and monitor your models.

Model Management and Monitoring

Use Cases

Explore end-to-end use cases for integrating R and DataRobot.

Detecting Droids with DataRobot
Hospital Readmissions
Model factory with Readmissions Dataset
Time Series Model factory
Lead Scoring on Bank Marketing Data

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