RML Technologies, Inc.
Discipulus™ 5.2 Advantages
Discipulus lets analysts focus on best solutions rather than researching numerical formatting and solutions.
Integrated with Solution Analytics and Notitia Data Preparation tool
Scaling and preprocessing of inputs is usually unnecessary
Intelligent self-configuration means NO parameter setting
Built-in protection against over-fitting
To Quote our customer: "Other machine learning systems would take well over a year in CPU time on problems Discipulus comfortably solves in a week."
Sixty to two-hundred times faster than comparable modeling techniques
Creates models from large data-sets quickly and easily
For building predictive models of real world problems, Discipulus™ 5.2 offers unique advantages based on our patented computerized learning technology.
Ease in Deploying Models
Discipulus outputs ready to be deployed programs of generated models in most high level languages.
Easily understood models produced in C#, Java, Delphi, C, or Intel Assembler for deployment
Comparing with Other AI Techniques
Unlike neural networks, Discipulus automatically separates relevant and irrelevant inputs and easily handles highly correlated inputs
neural networks, classification trees, support vector machines and robust regression methods with less work
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