DataRobot Integration Package
The DataRobot Package enables easy integration with DataRobot for generating ML predictions based on a provided data set.
The source code for this package is available on the Automation Anywhere GitHub page
Top Benefits
- Embed automated Machine Learning in RPA bots
- Easy configuration
- Automate intelligent, data-driven decision making
Actions
- Machine-Learning Predictions
- Data Classification
- Anomaly Detection
- Provide Prediction Explanations
The DataRobot Package enables easy integration to infuse your bots with Auto-ML capability. Help your bots make better decisions with AI.
Start Session: Input Login Credentials or API Key to authenticate with DataRobot Server
Get Deployments: Retrieve details on the available model deployments such as your DataRobot Key, URL and Model IDs - returned in a Dictionary Variable for easy use in subsequent actions.
Get Predictions: Generate predictions for Multiclass and Binary ML models based on a CSV input file or JSON file containing the data elements. Outputs to a Table variable for seamless analysis and downstream manipulation.
The source code for this package is available on the Automation Anywhere GitHub page
Free
- Applications
-
- Business Process
- Finance & AccountingHuman ResourcesInformation TechnologyRPA Development
- Category
- Artificial Intelligence
- Downloads
- 103
- Vendor
- Automation Type
- Package
- Last Updated
- May 20, 2021
- First Published
- July 16, 2020
- Platform
- Automation 360
- Support
-
- Community Support Only
- Pathfinder Community Developer Forum
- Bot Store FAQs
- Bot Security Program
-
Level 1
Setup Process
Install
Download the Package and follow the instructions to install it in your AAE Control Room.
Configure
Use the Package in a bot, configure keys and other credentials the package will need (see the ReadMe for details.)
Run
That's it - now the Package is ready to get going!
Requirements and Inputs
- DataRobot Credentials
- DataRobot ML Models Deployed
- CSV or JSON data set to be used for predictions
