You are viewing the RapidMiner Studio documentation for version 9.9 - Check here for latest version
What's new in RapidMiner Studio 9.9
New RapidMiner Data Core, designed for effectiveness and speed
Data is the central piece in any RapidMiner process. The way RapidMiner internally deals with data has fundamentally changed in this release with the new Data Core. Its new columnar table representation provides a quantum leap in processing speed and memory efficiency for RapidMiner processes.
Multiple operators already use it internally and it becomes fully available now for extension developers to create fast and efficient operators.
Web services as data sources for any of your processes
Integrate data from external web services in an extremely flexible way. New operators allow you to make any type of web-service request (PUT, GET, POST, DELETE and PATCH) and automate access within your projects.
This is part of the Web Mining Extension, which needs to be downloaded from the Marketplace.
Transfer learning in Deep Learning
Use ready-made models, custom or from a model zoo, within your Deep Learning processes through transfer learning.
This is part of the Deep Learning Extension, which needs to be downloaded from the Marketplace.
Custom Python operators
With this new version of the Python Scripting extension, we introduce two new operators: Python Learner and Python Transformer. With these meta-operators, you can create your own operators with their own set of parameters, inputs and outputs. These operators will have Python code that you write, running under the hood, and they will also seamlessly integrate with all other RapidMiner operators. With Python Learner, you will be able to create a predictive model based on your favorite Python library, which you can then easily use in RapidMiner processes with operators such as Cross-Validation, Apply Model, and so on.
What's even better, is that you can easily share such an operator with your project team, or with anyone in the world by creating a new RapidMiner extension with the click of a button.
Naturally, you can take these operators and deploy them to production using all the familiar tools of the RapidMiner AI Hub, such as web services, or our Model Deployment feature.
This is part of the Python Scripting Extension, which needs to be downloaded from the Marketplace.
Enhancements and bug fixes
The following pages describe the enhancements and bug fixes in RapidMiner Studio 9.9 releases:
