(Updated January 2021)
This landing page will help you get started using the datarobot Python client package to interact with DataRobot. You can import data, build models, evaluate metrics, and make predictions right from the console.
There are several advantages to interacting with DataRobot programmatically:
View the full documentation for the datarobot Python client package here.
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. For data scientists, there are two main code repositories for getting started: API Samples and Tutorials. The contents of both are listed below, but please visit the repos to get the latest details.
For each respective guide, follow the instructions in the related .ipynb or .Rmd file.
Also, please pay attention to the different DataRobot API Endpoints.
The API endpoint you specify for accessing DataRobot is dependent on the deployment environment, as follows:
The DataRobot API Endpoint is used to connect your IDE to DataRobot.
This repository contains Python notebooks for achieving specific tasks using the API.
AdvancedOptions object: How to use the AdvancedOptions object. Python
This repository contains various end-to-end use case examples using the DataRobot API. Each use case directory contains instructions for its own use.
API Training: The DataRobot API Training is targeted at data scientists and motivated individuals with at least basic coding skills who want to take automation with DataRobot to the next level. Python
Here you will be able to learn how to use the DataRobot API through a series of exercises that will challenge you, and teach you how to solve some of the most common problems that people run into.
Start by carefully reading the "API Training - Introductory Notebook." Python This will help you learn the basics and provide a concrete overview for the API. Afterwards, go within the /Exercises folder and start downloading and solving the exercises.
The list of exercises is as follows: