DOCUMENTATION
  • Software
    • Software
    • SAS Viya
    • Industries
    • Solutions
    • Products
  • Learn
    • Learn
    • Training
    • Certification
    • Academics
    • Books
    • Video Tutorials
  • Support
    • Support
    • Communities
    • Documentation
    • Developers
    • Support & Services
    • User Groups
  • About Us
    • About Us
    • Why SAS?
    • Company
    • Careers
    • Newsroom
    • Events
    • Contact Us
  • Explore
    • Explore
    • Try & Buy
    • Why SAS?
    • Customer Stories
    • Partners
    • Consulting
  • Software
  • SAS Viya
  • Industries
  • Solutions
  • Products
  • Learn
  • Training
  • Certification
  • Academics
  • Books
  • Video Tutorials
  • Support
  • Communities
  • Documentation
  • Developers
  • Support & Services
  • User Groups
  • About Us
  • Why SAS?
  • Company
  • Careers
  • Newsroom
  • Events
  • Contact Us
  • Explore
  • Try & Buy
  • Why SAS?
  • Customer Stories
  • Partners
  • Consulting
  • Contact Us
Sign In

Create Profile

My SAS

Get access to My SAS, trials, communities and more.

SAS Sites

sas.com
Support
Blogs
Communities
Developer
Curiosity
Videos

Documentation

Learn
Brand
PartnerNet
Merchandise
SAS® Help Center
SAS® Visual Data Mining and Machine Learning: Procedures
2020.1
|PDF 
Feedback
 
  • 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
  • The OPTBINNING Procedure
  • The RPCA Procedure
  • The SEMISUPLEARN Procedure
    • Overview
    • Getting Started
    • Syntax
      • PROC SEMISUPLEARN Statement
      • AUTOTUNE Statement
      • INPUT Statement
      • KERNEL Statement
      • OUTPUT Statement
      • TARGET Statement
    • Details
    • Examples
    • References
  • The SPARSEML Procedure
  • The SVDD Procedure
  • The SVMACHINE Procedure
  • The TEXTMINE Procedure
  • The TMSCORE Procedure
  • The TSNE Procedure
 

The SEMISUPLEARN Procedure

Overview
Getting Started
Syntax
Details
Examples
References

INPUT Statement

  • INPUT variables /<LEVEL=INTERVAL>;

The INPUT statement specifies the variables to use for calculating the similarity measure in the semisupervised learning algorithm. The variables must be of interval type. You must specify at least one input variable. Only interval variables are allowed here.

Copyright © SAS Institute Inc. All rights reserved.
Last updated: November 11, 2020
Datenschutzerklärung Nutzungsbedingungen 
Copyright © SAS Institute Inc. All Rights Reserved