The ADAPA Predictive Analytics Edition 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 (Predictive Model Markup Language) 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. ADAPA supports an extensive collection of PMML elements, including the following predictive techniques:
Neural Networks
Support Vector Machines
Naive Bayes Classifiers
Clustering Models
Decision Trees
Regression Models
The ADAPA Control Center provides the management environment to launch one or more ADAPA Predictive Analytics instances, either in the U.S. or European regions.
The ADAPA decision engine executes a multitude of pattern recognition models. It uses PMML (Predictive Model Markup Language) 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. ADAPA supports an extensive collection of PMML elements, including the following predictive techniques:
Neural Networks
Support Vector Machines
Naive Bayes Classifiers
Clustering Models
Decision Trees
Regression Models
The ADAPA Control Center provides the management environment to launch one or more ADAPA Predictive Analytics instances, either in the U.S. or European regions.