1.1 - 8.10 - SVMDense Example: Radial Basis Model (RBF) Model - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)

SQL Call

DROP IF TABLE EXISTS densesvm_iris_rbf_model;

SELECT * FROM SVMDense (
  ON svm_iris_train AS InputTable
  OUT TABLE ModelTable (densesvm_iris_rbf_model)
  USING
  IDColumn ('id')
  TargetColumns ('[1:4]')
  ResponseColumn ('species')
  RegularizationLambda (1)
  Bias (0)
  KernelFunction ('rbf')
  Gamma (0.1)
  HashBits (512)
  SubspaceDimension (120)
  MaxIterNum (100)
  Seed (1)
) AS dt;

Output

 message                                                                                                                                    
 ------------------------------------------------------------------------------------------------------------------------------------------ 
 Model table is created successfully                                                                                                       
 The model is trained with 120 samples and 512 unique attributes with hash projection                                                      
 There are 3 different classes in the training set                                                                                         
 The model is converged after 39 steps with epsilon 0.01, the average value of the loss function for the training set is 15.280333289700877
 The corresponding training parameters are cost:1.0 bias:0.0

Download a zip file of all examples and a SQL script file that creates their input tables from the attachment in the left sidebar.