In release 7.2, we have opened up DataRobot for data science experts who love to code via Composable ML and code-centric data preparation and pipelines. MLOps adds Continuous AI to keep production models at peak performance, bias monitoring to keep models fair, and new Decision Intelligence flows that let you apply business rules to each and every prediction.
Keep reading to understand more about our most exciting release yet.
Powerful Tools for Data Science Experts Who Love to Code Composable ML
Your Expertise Extended with Our World-Class Automation. To build best-in-class models, data scientists need to constantly experiment with data and algorithms. In reality, data scientists spend much of their time on repetitive or mundane tasks, like writing code for feature transformations or model operationalization, leaving them with little time to actually experiment.
New in release 7.2, DataRobot Composable ML provides customizable blueprints containing reusable building blocks that allow experts to save time on mundane coding tasks and focus on experimentation and other high-value activities. You can define your unique best-in-class machine learning algorithm, then combine it with built-in DataRobot’s capabilities to automate repetitive and laborious tasks, resulting in a dramatic