RapidMiner Studio is a powerful visual workflow designer for rapidly building predictive analytic workflows. This all-in-one tool features hundreds of data preparation and machine learning algorithms to support all your data science projects.

Maximize Data Science Productivity

Visual data science workflow designer accelerates prototyping
& validation of models

 

• Code-optional with guided analytics
• Predefined connections, built-in templates and repeatable workflows

Rich library of algorithms and functions to build the strongest  possible model for any use case

 

• 1500+ built-in operations (predefined functions)
• Robust data exploration, prep, modeling & validation functionality

Open source innovation keeps pace with changing business needs

 

• Well-accepted open source technology and languages
• Robust Marketplace for easy integration of R, Python & so much more…

Streamlines Transformation, Development & Validatation

Data Access

Connect to any data source, any format, at any scale

 

• More data connectors than any other visual design platform.
• Includes over 60 file types and formats for structured and unstructured data.

Access, load and extract information from unstructured data

 

• 80+ functions for text, web and multimedia mining & processing.
• Supports plain texts, HTML, PDF, RTF, and many more.

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Data Exploration

Robust statistical overviews to quickly explore and understand your data

 

• Graphically displays attribute name & type.
• Quickly identifies missing values.

A powerful chart engine offers more than 30 different visualization options

 

• Bubble charts & 3-D scatter plots.
• Network & tree visualizations, and many more.

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Data Prep

Offers a host of data quality, integration, and transformation tools

 

• Multiple options to aggregate, filter and sort or join data.
• Feature engineering operators for feature selection, creation & extraction.

Determine best influence factors or generate new factors

 

• Advanced attribute weighting capabilities.
• Options for new attribute generation.

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Data Cleansing

Provides a variety of advanced approaches for data cleansing

 

• Identification and removal of duplicate.
• Anomaly & outlier detection & removal.
• Normalization & standardization.
• Weighting schemes measuring the influence of attributes.

Offers sophisticated dimensionality reduction technique

 

• Self Organizing Maps (SOM).

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Modeling

Breadth of machine learning functions

 

• Classification, regression and clustering techniques.
• Association mining, frequent item set & similarity computation.
• Ensemble & hierarchical models.

More than 100 additional modeling operators

 

• Seamlessly integrate R, Python and custom scripts.
• Process Control functions.
• Optimization loops & branches.

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Validation

Only visual workflow designer with correct model validation techniques

 

• Preprocessing models.
• Cross validation & split validation.
• Visual evaluation techniques.

Trustworthy performance calculations

 

• Accuracy, Precision, Recall, RMSE, AUC and many more.
• Calculating significance tests.

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Cloud Execution

Extended computation – on demand

 

• Submit multiple jobs parallel
• Elastic-compute environment

Predictive analytics anywhere

 

• Provides a central, cloud-based repository
• Supports agility

RapidMiner Studio Overview