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Get the free SAS Enterprise Miner 5.3: C and Java Score Code Basics

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This document provides guidance on using SAS Enterprise Miner 5.3 for generating C and Java score code, including examples, programming details, and best practices for integrating scoring applications
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How to fill out SAS Enterprise Miner 5.3: C and Java Score Code Basics

01
Open SAS Enterprise Miner 5.3 and create a new project.
02
Import your data set into the project using the appropriate data source.
03
Select the appropriate nodes for your analysis, such as the Import Data node and the Data Partition node.
04
Configure the nodes by specifying the settings, including setting the target variable and input variables.
05
Use the Select Variables node to choose the most relevant predictors for your model.
06
Choose the modeling node that fits your needs, such as Regression or Neural Network.
07
Train the model and assess its performance using the Assessment node.
08
Generate the score code by using the Code Export option in the model node.
09
Select either C or Java as the target language for the generated score code.
10
Review and refine the generated code as necessary before exporting it for use.

Who needs SAS Enterprise Miner 5.3: C and Java Score Code Basics?

01
Data scientists and analysts who are involved in predictive modeling.
02
Individuals or teams responsible for deploying models into production environments.
03
Developers who need to integrate scoring into applications using C or Java.
04
Organizations looking to enhance their analytical capabilities in various domains.
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SAS Enterprise Miner 5.3: C and Java Score Code Basics is a component of the SAS Enterprise Miner software that provides users with the ability to create scoring code using C and Java for deploying predictive models.
Anyone involved in the generation and deployment of predictive models using SAS Enterprise Miner may need to file SAS Enterprise Miner 5.3: C and Java Score Code Basics, especially data scientists and analysts responsible for model implementation.
To fill out SAS Enterprise Miner 5.3: C and Java Score Code Basics, users should ensure that all required fields are accurately completed, including model specifications, required libraries, and necessary dependencies for the provided scoring code.
The purpose of SAS Enterprise Miner 5.3: C and Java Score Code Basics is to facilitate the creation and deployment of scoring code in C and Java, thus enabling organizations to implement predictive models into applications and ensure effective model execution.
Information that must be reported on SAS Enterprise Miner 5.3: C and Java Score Code Basics includes model metadata, scoring parameters, code versioning details, and any dependencies required for the scoring process.
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