The ADAPA® Predictive Analytics Edition by Zementis is a highly scalable decision engine that offers at its core batch and real-time scoring of predictive models that follow the Predictive Model Markup Language (PMML) standard. It enables you to manage, deploy, and execute predictive models though a web-based user interface. By using web service calls, models deployed remotely can be seamlessly used as an integral part of all your on-site decision strategies. The ADAPA decision engine executes a multitude of pattern recognition models. It uses PMML to upload and execute these models. PMML, a vendor-driven, open standard for predictive models, is an XML-based language which provides a way for applications to define statistical and data mining models and to share these between PMML compliant applications.
About ADAPA®, Bob Nisbet, Ph.D., co-Author of the soon to be released HANDBOOK OF STATISTICAL ANALYSIS and DATA MINING APPLICATIONS, (900 pages, publication date: APR-2009, ISBN-13: 978-0-12-374765-5, Imprint: ACADEMIC PRESS), says:, "ADAPA® is a truly modeling tool agnostic. Modeling tools may come and go; it makes no difference to ADAPA®. Data sets may be small to gigantic; it makes no difference to ADAPA®. It plugs into the Amazon.com elastic cloud to score data sets of any size, and (after the free trial, of course) charges a small monthly fee and according to the amount of CPU usage only. No software to buy, no installations to endure.
Broad Support for Predictive Algorithms -
ADAPA supports an extensive collection of PMML elements, including the following predictive techniques:
1) Back-Propagation Neural Networks;
2) Radial-Basis Function Networks;
3) Neural-Gas Networks;
4) Support Vector Machines;
5) Binary Logistic Regression;
6) Multinomial Logistic Regression;
7) Ordinal Multinomial Regression;
8) Stepwise Polynomial Regression;
9) General Linear Models;
10) Generalized Linear Models; and
11) Decision Trees.
In addition, ADAPA® supports several PMML elements which deal with pre- and post processing of input and predicted variables, respectively. These elements include data dictionary, transformations, targets, functions, and more. ADAPA consumes model files that conform to PMML version 3.2. If you exported your models from another statistical analysis tool, a PMML converter application is available the manufacturer's Web site to transform your models from previous PMML versions into a 3.2 compliant format.
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