Category: Operators

Extensions that provide new operators not falling into any of the other categories.

Admin Tools
This extension provides administration related operators.

Animated Plots
Do you want to plot datasets to HTML5 chart png images and create a GIF from these images? Check this extension with two operators for just the tasks described. Simply use your Studio chart config to create beautiful animated plots.

Converters Extension
This extension contains a number of operators designed for converting different IOObjects into other useful representations.

Custom Operators
This extension allows to build new operators out of processes without any coding and bundle them into extensions.

Data Structure
This extension is part of the ISGAT project. It provides the functionality to create Data Schema and adapt user data to the Data Schema.

Database Envy
Some data processing operations missing from RapidMiner core, but available in SQL databases.

Fuzzy Matching
This extension adds the fuzzy matching algorithm as an operator and as a function to the expression builder.

In-Database Processing
Visually define data prep or ETL workflows and execute them directly in the database. Reduce data transfer by loading only the data you need after preparation.

Mannheim RapidMiner Toolbox
The Mannheim RapidMiner toolbox contains operators from various categories; ranging from slightly modified implementations of original operators to new preprocessing and learning operators.


Model Visualization Extension
Operators provided by this plugin allow user to display scatterplot visualizations of data together with their models and therefore perform a sensitivity analysis of the models. This allows human user to understand especially the blackbox models better - this includes complex models such as neural nets, however, the plugin is suitable for any PredictionModel.

Names Processing
Parse Name Structure, Extract Gender, Origin from Personal Names.

Python Scripting
The Python scripting extension integrates RapidMiner with the data scientist-friendly and widely used programming language Python and allows to embed Python code into RapidMiner processes.

R Scripting
The R scripting extension integrates RapidMiner with the well-known statistical language R and allows to embed R scripts into RapidMiner processes. Requires Studio 6.4 or newer!

RapidMiner Finance and Economics Extension
The Finance and Economics Extension for RapidMiner gives you quick and easy access to over 150,000 finance and economic time series data sets and more. You can also transform and analyze the data using various financial operators included in the the operator set. Integrate stock, index and other time series easily into your RapidMiner workflow.

RapidMiner Radoop
RapidMiner Radoop is a code-free environment for designing advanced analytic processes that push computations down to your Hadoop cluster. You need a specific license to use this product.

Recommender Extension
This extension adds two new set of operators to RapidMiner which can be used for item recommendation and rating prediction.

Reporting Extension
This extension adds new operators to RapidMiner which can be used to generate reports consisting of tables and visualizations generated by RapidMiner.

Series Extension
This extension provides operators for processing time series and includes a variety of preprocessing steps as well as various methods for extracting features from value series.

Shapelet
This extension enables user to apply Shapelet analysis on their time series data. For more information see X. Renard, M. Rifqi, G. Fricout, M. Detyniecki : EAST representation: fast discovery of discriminant temporal patterns from time series, ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Riva Del Garda, Italy (2016)

Streaming
The extension adds Operators to design and deploy streaming analytic process on Flink or Spark. This is a beta version. Please use it carefully, as features are still under development.

String Matching
This operator does approximate string matching for the each string present in the example set with the text present in document.