Inspire collaboration between coders and non-coders to enhance productivity and streamline governance. Available as part of the AI Hub.
Write code in a managed notebook environment
- Leverage a state of the art, ready-to-use JupyterLab environment as an integral part of the RapidMiner AI Hub
- Utilize the limitless capabilities of Python and its accompanying open source libraries to explore your data and build advanced machine learning models
- Jumpstart projects with pre-built notebook kernels for data scientists, or customize your own
- Access your work from anywhere with no impact on your local machine through a portable and highly scalable environment
Collaborate across disciplines
- Team up with domain experts using RapidMiner projects: a workflow designed to execute automated, visual, and code-based paradigms in unison
- Drive agile and iterative development of use cases across teams with fine-grained version control based on standard git
- Enrich the work of your peers by adding Python snippets to existing models and workflows
Enhance everyone’s productivity
- Provide coders with easy access and re-use of connections, data, workflows, code and models that are curated by domain experts
- Allow non-coding team members to easily reuse code created by their colleagues
- Drive immediate business impact by rapidly deploying code-based models into production as a web service
Govern and manage more effectively
- Governed, but flexible code environments for collaboration across the enterprise
- Streamline AI governance by standardizing production in a central, scalable environment that’s accessible to anyone
- Simplify auditing with a complete view of lineage, change history and model explanations
Learn more about RapidMiner Notebooks
Related Resources. Take a Look!
With Jupyter Notebooks baked into RapidMiner 9.6, coders have a powerful new tool to share projects with coworkers. Read on to find out all the details!
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