SVMDense Example: Polynomial Model - Teradata Vantage

Input

See SVMDense Examples Input.

SQL Call

DROP IF TABLE EXISTS densesvm_iris_polynomial_model;

SELECT * FROM SVMDense (
  ON svm_iris_train AS InputTable
  OUT TABLE ModelTable (densesvm_iris_polynomial_model)
  USING
  IDColumn ('id')
  TargetColumns ('[1:4]')
  ResponseColumn ('species')
  RegularizationLambda (1)
  Bias (0)
  KernelFunction ('polynomial')
  Gamma (0.1)
  HashBits (512)
  Degree (2)
  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 not converged after 100 steps with epsilon 0.01, the average value of the loss function for the training set is 8400.07629018121
 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.