Input
- Input table: svm_iris_input_train, created for SVMSparse Example
- Model table: svm_iris_model, the output table from SVMSparse Example
SQL Call
SELECT DISTINCT * FROM SVMSparseSummary ( ON svm_iris_input_train AS "input" PARTITION BY 1 ON svm_iris_model AS model DIMENSION USING AttributeNameColumn ('attribute') OutputSummary ('true') ) AS dt;
Output
message |
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The corresponding training parameters are cost:1.0 bias:0.0 The model is not converged after 150 steps with epsilon 0.01, the average value of the loss function for the training set is 35.46831950524983 The model is trained with 120 samples and 4 unique attributes There are 3 different classes in the training set |