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SAS® Help Center
SAS® Visual Data Mining and Machine Learning: Procedures
2020.1
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  • Introduction
  • Shared Concepts
  • The ASTORE Procedure
  • The BNET Procedure
  • The BOOLRULE Procedure
  • The FACTMAC Procedure
  • The FASTKNN Procedure
  • The FISM Procedure
  • The FOREST Procedure
  • The GMM Procedure
  • The GRADBOOST Procedure
  • The GVARCLUS Procedure
  • The KPCA Procedure
  • The MBANALYSIS Procedure
  • The MTLEARN Procedure
  • The MWPCA Procedure
  • The NNET Procedure
    • Overview
    • Getting Started
    • Syntax
      • PROC NNET Statement
      • ARCHITECTURE Statement
      • AUTOTUNE Statement
      • CODE Statement
      • CROSSVALIDATION Statement
      • HIDDEN Statement
      • INPUT Statement
      • OPTIMIZATION Statement
      • OUTPUT Statement
      • PARTITION Statement
      • TARGET Statement
      • TRAIN Statement
      • WEIGHT Statement
    • Details
    • Examples
    • References
  • The OPTBINNING Procedure
  • The RPCA Procedure
  • The SEMISUPLEARN Procedure
  • The SPARSEML Procedure
  • The SVDD Procedure
  • The SVMACHINE Procedure
  • The TEXTMINE Procedure
  • The TMSCORE Procedure
  • The TSNE Procedure
 

The NNET Procedure

Overview
Getting Started
Syntax
Details
Examples
References

CODE Statement

  • CODE <options>;

The CODE statement returns the SAS score code that can be used to score data similar to the input data.

You can specify the following options:

FILE=filename

specifies the name of the file where PROC NNET is to write the SAS score code.

NOCOMPPGM

omits the logic of the option FRACTION option in the PARTITION statement from the score code.

If you do not specify this option, the logic of the FRACTION option in the PARTITION statement is included in the score code.

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Last updated: November 11, 2020
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