SVMSparseSummary Example: OutputSummary ('true') - Teradata Vantage

Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
8.10
1.1
Published
October 2019
Language
English (United States)
Last Update
2019-12-31
dita:mapPath
ima1540829771750.ditamap
dita:ditavalPath
jsj1481748799576.ditaval
dita:id
B700-4003
lifecycle
previous
Product Category
Teradata Vantageā„¢

Input

SQL Call

SELECT DISTINCT * FROM SVMSparseSummary (
  ON svm_iris_input_train AS InputTable PARTITION BY 1
  ON svm_iris_model AS Model DIMENSION
  USING
  AttributeNameColumn ('attribute')
  OutputSummary ('true')
) AS dt;

Output

 message                                                                                                                                        
 ---------------------------------------------------------------------------------------------------------------------------------------------- 
 The model is trained with 120 samples and 4 unique attributes                                                                                 
 There are 3 different classes in the training set                                                                                             
 The model is not converged after 150 steps with epsilon 0.01, the average value of the loss function for the training set is 36.44926590032744
 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.