Input
- InputTable: svm_iris_input_train, created for SVMSparse Example
- Model: svm_iris_model, the output table from SVMSparse Example
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.