Zementis, Inc. is a leading software company focused on the operational deployment and integration of predictive analytics and data mining solutions. Its ADAPA® decision engine successfully bridges the gap between science and engineering. ADAPA® and the Universal PMML Plug-in™ are designed from the ground up to benefit from open standards and to significantly shorten the time-to-market for predictive analytics in any industry.
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ADAPA
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Zementis Server on the AWS Marketplace
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Scoring data in ADAPA via Web Services using SSIS 2012 (SQL Server Integration Services)
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ADAPA on the Microsoft Azure Cloud
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Predictive analytics scoring with MySQL and ADAPA
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Predictive model integration for MySQL, Microsoft SQL Server, Oracle and PostgreSQL
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Understanding and Using ADAPA
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Installing the Zementis Security Certificate for Zementis Server on the Cloud
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3 Ways to Access ADAPA in the Cloud
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Validation, Correction, and Conversion
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Verifying your model in ADAPA ... did it upload correctly?
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Formatting your data file for batch-scoring in ADAPA
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Integrating Predictive Models into SAP Applications using ADAPA
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Scoring Data in ADAPA via Web Services using Jitterbit
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Scoring data in ADAPA via Web Services using SSIS 2008 (SQL Server Integration Services)
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Understanding and Using the ADAPA Web Services
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Understanding and Using the ADAPA Console
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ADAPA Instance on Amazon EC2
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Security on Amazon EC2
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ADAPA Product Data Sheet
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ADAPA is now available on all Amazon Cloud regions
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Zementis Server on the AWS Marketplace
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Excel Add-in
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Connecting the Excel Add-in to your own ADAPA Instance
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Explaining "Apply Model"
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Explaining "Setup Connection"
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How to score data using the ADAPA Add-in for Microsoft Office Excel?
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ADAPA Add-in for Excel - On-Line Video Tutorial
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Predictive Analytics at your fingertips: Scoring data in Microsoft Office Excel
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Connecting the Excel Add-in to your own ADAPA Instance
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UPPI
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Transformations Generator
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R To PMML
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Python to PMML (Py2PMML)
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Exporting PMML for Class BernouilliNB
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Exporting PMML for Class LinearRegression
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Exporting PMML for Class DecisionTreeRegressor
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Exporting PMML for Class RandomForestRegressor
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Exporting PMML for Class RandomForestClassifier
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Exporting PMML for Class DecisionTreeClassifier
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Exporting PMML for Class KMeans
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Exporting PMML for Class GaussianNB
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Exporting PMML for Class LogisticRegression
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Introducing Py2PMML
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Exporting PMML for Class BernouilliNB